model_id stringlengths 8 65 | model_card stringlengths 0 15.7k | model_labels listlengths |
|---|---|---|
Salesforce/blip-image-captioning-large |
# BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Model card for image captioning pretrained on COCO dataset - base architecture (with ViT large backbone).
| .
|  (a large language model with 2.7 billion parameters).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv... | null |
microsoft/git-base |
# GIT (GenerativeImage2Text), base-sized
GIT (short for GenerativeImage2Text) model, base-sized version. It was introduced in the paper [GIT: A Generative Image-to-text Transformer for Vision and Language](https://arxiv.org/abs/2205.14100) by Wang et al. and first released in [this repository](https://github.com/micr... | null |
Dataseeds/LLaVA-OneVision-Qwen2-0.5b-ov-DSD-FineTune |
# LLaVA-OneVision-Qwen2-0.5b Fine-tuned on DataSeeds.AI Dataset
This model is a LoRA (Low-Rank Adaptation) fine-tuned version of [lmms-lab/llava-onevision-qwen2-0.5b-ov](https://huggingface.co/lmms-lab/llava-onevision-qwen2-0.5b-ov) specialized for photography scene analysis and description generation. The model was ... | null |
Dataseeds/BLIP2-opt-2.7b-DSD-FineTune |
# BLIP2-OPT-2.7B Fine-tuned on DataSeeds.AI Dataset
Code: https://github.com/DataSeeds-ai/DSD-finetune-blip-llava
This model is a fine-tuned version of [Salesforce/blip2-opt-2.7b](https://huggingface.co/Salesforce/blip2-opt-2.7b) specialized for photography scene analysis and technical description generation. The mo... | null |
nlpconnect/vit-gpt2-image-captioning |
# nlpconnect/vit-gpt2-image-captioning
This is an image captioning model trained by @ydshieh in [flax ](https://github.com/huggingface/transformers/tree/main/examples/flax/image-captioning) this is pytorch version of [this](https://huggingface.co/ydshieh/vit-gpt2-coco-en-ckpts).
# The Illustrated Image Captioning u... | null |
Salesforce/instructblip-vicuna-7b |
# InstructBLIP model
InstructBLIP model using [Vicuna-7b](https://github.com/lm-sys/FastChat#model-weights) as language model. InstructBLIP was introduced in the paper [InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning](https://arxiv.org/abs/2305.06500) by Dai et al.
Disclaimer: Th... | null |
ogulcanakca/blip-itu-turkish-captions-finetuned |
# Türkçe Görüntü Altyazılama: BLIP ile Bir Başlangıç Noktası
## Projeye Genel Bakış ve Katkısı
Bu proje, `Salesforce/blip-image-captioning-base` modelinin, `ituperceptron/image-captioning-turkish` veri kümesinin "long_captions" bölümünden alınan bir alt küme üzerinde **Türkçe görüntü altyazıları üretmek** amacıyla i... | null |
adalbertojunior/image_captioning_portuguese |
Image Captioning in Portuguese trained with ViT and GPT2
[DEMO](https://huggingface.co/spaces/adalbertojunior/image_captioning_portuguese)
Research supported with Cloud TPUs from Google's TPU Research Cloud (TRC) | null |
deepklarity/poster2plot |
# Poster2Plot
An image captioning model to generate movie/t.v show plot from poster. It generates decent plots but is no way perfect. We are still working on improving the model.
## Live demo on Hugging Face Spaces: https://huggingface.co/spaces/deepklarity/poster2plot
# Model Details
The base model uses a Vision ... | null |
gagan3012/ViTGPT2I2A |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ViTGPT2I2A
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patc... | null |
bipin/image-caption-generator |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Image-caption-generator
This model is trained on [Flickr8k](https://www.kaggle.com/datasets/nunenuh/flickr8k) dataset to generat... | null |
yuewu/toc_titler | A model that inputs chemistry journal article table of contents (ToC) images and generates appropriate titles. Trained on all JACS ToCs and titles. | null |
dhansmair/flamingo-tiny | Flamingo Model (tiny version) pretrained on Image Captioning on the Conceptual Captions (3M) dataset.
Source Code: https://github.com/dhansmair/flamingo-mini
Demo Space: https://huggingface.co/spaces/dhansmair/flamingo-tiny-cap
Flamingo-mini: https://huggingface.co/spaces/dhansmair/flamingo-mini-cap
| null |
dhansmair/flamingo-mini | Flamingo Model pretrained on Image Captioning on the Conceptual Captions (3M) dataset.
Source Code: https://github.com/dhansmair/flamingo-mini
Demo Space: https://huggingface.co/spaces/dhansmair/flamingo-mini-cap
Flamingo-tiny: https://huggingface.co/spaces/dhansmair/flamingo-tiny-cap
| null |
Zayn/AICVTG_What_if_a_machine_could_create_captions_automatically |
This is an image captioning model training by Zayn
```python
from transformers import VisionEncoderDecoderModel, ViTFeatureExtractor, AutoTokenizer
model = VisionEncoderDecoderModel.from_pretrained("Zayn/AICVTG_What_if_a_machine_could_create_captions_automatically")
feature_extractor = ViTFeatureExtractor.from_pr... | null |
microsoft/git-base-coco |
# GIT (GenerativeImage2Text), base-sized, fine-tuned on COCO
GIT (short for GenerativeImage2Text) model, base-sized version, fine-tuned on COCO. It was introduced in the paper [GIT: A Generative Image-to-text Transformer for Vision and Language](https://arxiv.org/abs/2205.14100) by Wang et al. and first released in [... | null |
microsoft/git-base-textcaps |
# GIT (GenerativeImage2Text), base-sized, fine-tuned on TextCaps
GIT (short for GenerativeImage2Text) model, base-sized version, fine-tuned on TextCaps. It was introduced in the paper [GIT: A Generative Image-to-text Transformer for Vision and Language](https://arxiv.org/abs/2205.14100) by Wang et al. and first relea... | null |
microsoft/git-large |
# GIT (GenerativeImage2Text), large-sized
GIT (short for GenerativeImage2Text) model, large-sized version. It was introduced in the paper [GIT: A Generative Image-to-text Transformer for Vision and Language](https://arxiv.org/abs/2205.14100) by Wang et al. and first released in [this repository](https://github.com/mi... | null |
microsoft/git-large-coco |
# GIT (GenerativeImage2Text), large-sized, fine-tuned on COCO
GIT (short for GenerativeImage2Text) model, large-sized version, fine-tuned on COCO. It was introduced in the paper [GIT: A Generative Image-to-text Transformer for Vision and Language](https://arxiv.org/abs/2205.14100) by Wang et al. and first released in... | null |
microsoft/git-large-textcaps |
# GIT (GenerativeImage2Text), large-sized, fine-tuned on TextCaps
GIT (short for GenerativeImage2Text) model, large-sized version, fine-tuned on TextCaps. It was introduced in the paper [GIT: A Generative Image-to-text Transformer for Vision and Language](https://arxiv.org/abs/2205.14100) by Wang et al. and first rel... | null |
ybelkada/blip-image-captioning-base-football-finetuned |
# BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Model card for image captioning pretrained on COCO dataset - base architecture (with ViT base backbone) - and fine-tuned on
[football dataset](https://huggingface.co/datasets/ybelkada/football-dataset).
Google ... | null |
tuman/vit-rugpt2-image-captioning |
# First image captioning model for russian language vit-rugpt2-image-captioning
This is an image captioning model trained on translated version (en-ru) of dataset COCO2014.
# Model Details
Model was initialized `google/vit-base-patch16-224-in21k` for encoder and `sberbank-ai/rugpt3large_based_on_gpt2` for decoder.
... | null |
microsoft/git-large-r |
# GIT (GenerativeImage2Text), large-sized, R*
*R means "re-trained by removing some offensive captions in cc12m dataset".
GIT (short for GenerativeImage2Text) model, large-sized version. It was introduced in the paper [GIT: A Generative Image-to-text Transformer for Vision and Language](https://arxiv.org/abs/2205.14... | null |
microsoft/git-large-r-coco |
# GIT (GenerativeImage2Text), large-sized, fine-tuned on COCO, R*
R = re-trained by removing some offensive captions in cc12m dataset
GIT (short for GenerativeImage2Text) model, large-sized version, fine-tuned on COCO. It was introduced in the paper [GIT: A Generative Image-to-text Transformer for Vision and Languag... | null |
microsoft/git-large-r-textcaps |
# GIT (GenerativeImage2Text), large-sized, fine-tuned on TextCaps, R*
R = re-trained by removing some offensive captions in cc12m dataset
GIT (short for GenerativeImage2Text) model, large-sized version, fine-tuned on TextCaps. It was introduced in the paper [GIT: A Generative Image-to-text Transformer for Vision and... | null |
tifa-benchmark/promptcap-coco-vqa | This is the repo for the paper [PromptCap: Prompt-Guided Task-Aware Image Captioning](https://arxiv.org/abs/2211.09699). This paper is accepted to ICCV 2023 as [PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3](https://openaccess.thecvf.com/content/ICCV2023/html/Hu_PromptCap_Prompt-Guided_Image_Captioning_f... | null |
Salesforce/blip2-flan-t5-xl |
# BLIP-2, Flan T5-xl, pre-trained only
BLIP-2 model, leveraging [Flan T5-xl](https://huggingface.co/google/flan-t5-xl) (a large language model).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv.org/abs/2301.12597) by ... | null |
Salesforce/blip2-opt-6.7b |
# BLIP-2, OPT-6.7b, pre-trained only
BLIP-2 model, leveraging [OPT-6.7b](https://huggingface.co/facebook/opt-6.7b) (a large language model with 6.7 billion parameters).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv... | null |
Salesforce/blip2-opt-2.7b-coco |
# BLIP-2, OPT-2.7b, fine-tuned on COCO
BLIP-2 model, leveraging [OPT-2.7b](https://huggingface.co/facebook/opt-2.7b) (a large language model with 2.7 billion parameters).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arx... | null |
Salesforce/blip2-opt-6.7b-coco |
# BLIP-2, OPT-6.7b, fine-tuned on COCO
BLIP-2 model, leveraging [OPT-6.7b](https://huggingface.co/facebook/opt-6.7b) (a large language model with 6.7 billion parameters).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arx... | null |
Salesforce/blip2-flan-t5-xl-coco |
# BLIP-2, Flan T5-xl, fine-tuned on COCO
BLIP-2 model, leveraging [Flan T5-xl](https://huggingface.co/google/flan-t5-xl) (a large language model).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv.org/abs/2301.12597) b... | null |
Salesforce/blip2-flan-t5-xxl |
# BLIP-2, Flan T5-xxl, pre-trained only
BLIP-2 model, leveraging [Flan T5-xxl](https://huggingface.co/google/flan-t5-xxl) (a large language model).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv.org/abs/2301.12597) ... | null |
jaimin/image_caption |
# Sample running code
```python
from transformers import VisionEncoderDecoderModel, ViTFeatureExtractor, AutoTokenizer
import torch
from PIL import Image
model = VisionEncoderDecoderModel.from_pretrained("jaimin/image_caption")
feature_extractor = ViTFeatureExtractor.from_pretrained("jaimin/image_caption")
tokenize... | null |
Tomatolovve/DemoTest |
# nlpconnect/vit-gpt2-image-captioning
This is an image captioning model trained by @ydshieh in [flax ](https://github.com/huggingface/transformers/tree/main/examples/flax/image-captioning) this is pytorch version of [this](https://huggingface.co/ydshieh/vit-gpt2-coco-en-ckpts).
# The Illustrated Image Captioning u... | null |
Maciel/Muge-Image-Caption |
### 功能介绍
该模型功能主要是对图片生成文字描述。模型结构使用Encoder-Decoder结构，其中Encoder端使用BEiT模型，Decoder使用GPT模型。
使用中文Muge数据集训练语料，训练5k步，最终验证集loss为0.3737，rouge1为20.419，rouge2为7.3553，rougeL为17.3753，rougeLsum为17.376。
[Github项目地址](https://github.com/Macielyoung/Chinese-Image-Caption)
### 如何使用
```python
from transformers import VisionEncoderDe... | null |
baseplate/vit-gpt2-image-captioning |
# nlpconnect/vit-gpt2-image-captioning
This is an image captioning model trained by @ydshieh in [flax ](https://github.com/huggingface/transformers/tree/main/examples/flax/image-captioning) this is pytorch version of [this](https://huggingface.co/ydshieh/vit-gpt2-coco-en-ckpts).
# The Illustrated Image Captioning u... | null |
memegpt/blip2_endpoint |
# BLIP-2, OPT-2.7b, pre-trained only
BLIP-2 model, leveraging [OPT-2.7b](https://huggingface.co/facebook/opt-2.7b) (a large language model with 2.7 billion parameters).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv... | null |
kpyu/video-blip-opt-2.7b-ego4d |
# VideoBLIP, OPT-2.7b, fine-tuned on Ego4D
VideoBLIP model, leveraging [BLIP-2](https://arxiv.org/abs/2301.12597) with [OPT-2.7b](https://huggingface.co/facebook/opt-2.7b) (a large language model with 2.7 billion parameters) as its LLM backbone.
## Model description
VideoBLIP is an augmented BLIP-2 that can handle ... | null |
kpyu/video-blip-flan-t5-xl-ego4d |
# VideoBLIP, Flan T5-xl, fine-tuned on Ego4D
VideoBLIP model, leveraging [BLIP-2](https://arxiv.org/abs/2301.12597) with [Flan T5-xl](https://huggingface.co/google/flan-t5-xl) (a large language model with 2.7 billion parameters) as its LLM backbone.
## Model description
VideoBLIP is an augmented BLIP-2 that can han... | null |
wangjin2000/git-base-finetune |
# GIT (GenerativeImage2Text), base-sized
GIT (short for GenerativeImage2Text) model, base-sized version. It was introduced in the paper [GIT: A Generative Image-to-text Transformer for Vision and Language](https://arxiv.org/abs/2205.14100) by Wang et al. and first released in [this repository](https://github.com/micr... | null |
Salesforce/instructblip-flan-t5-xl |
# InstructBLIP model
InstructBLIP model using [Flan-T5-xl](https://huggingface.co/google/flan-t5-xl) as language model. InstructBLIP was introduced in the paper [InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning](https://arxiv.org/abs/2305.06500) by Dai et al.
Disclaimer: The team ... | null |
noamrot/FuseCap_Image_Captioning | # FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions
A framework designed to generate semantically rich image captions.
## Resources
- 💻 **Project Page**: For more details, visit the official [project page](https://rotsteinnoam.github.io/FuseCap/).
- 📝 **Read the Paper**: You can find the... | null |
Salesforce/instructblip-flan-t5-xxl |
# InstructBLIP model
InstructBLIP model using [Flan-T5-xxl](https://huggingface.co/google/flan-t5-xxl) as language model. InstructBLIP was introduced in the paper [InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning](https://arxiv.org/abs/2305.06500) by Dai et al.
Disclaimer: The tea... | null |
Salesforce/instructblip-vicuna-13b |
# InstructBLIP model
InstructBLIP model using [Vicuna-13b](https://github.com/lm-sys/FastChat#model-weights) as language model. InstructBLIP was introduced in the paper [InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning](https://arxiv.org/abs/2305.06500) by Dai et al.
Disclaimer: T... | null |
muhualing/vit |
# nlpconnect/vit-gpt2-image-captioning
This is an image captioning model trained by @ydshieh in [flax ](https://github.com/huggingface/transformers/tree/main/examples/flax/image-captioning) this is pytorch version of [this](https://huggingface.co/ydshieh/vit-gpt2-coco-en-ckpts).
# The Illustrated Image Captioning u... | null |
paragon-AI/blip2-image-to-text |
# BLIP-2, OPT-2.7b, pre-trained only
BLIP-2 model, leveraging [OPT-2.7b](https://huggingface.co/facebook/opt-2.7b) (a large language model with 2.7 billion parameters).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv... | null |
captioner/caption-gen | null | |
movementso/blip-image-captioning-large |
# BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Model card for image captioning pretrained on COCO dataset - base architecture (with ViT large backbone).
| , which has been fine-tuned on COCO and converted to FP16 for reduced model size and memory footprint.
The original model... | null |
LanguageMachines/blip2-flan-t5-xxl |
# BLIP-2, Flan T5-xxl, pre-trained only
BLIP-2 model, leveraging [Flan T5-xxl](https://huggingface.co/google/flan-t5-xxl) (a large language model).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv.org/abs/2301.12597) ... | null |
LanguageMachines/blip2-opt-2.7b |
# BLIP-2, OPT-2.7b, pre-trained only
BLIP-2 model, leveraging [OPT-2.7b](https://huggingface.co/facebook/opt-2.7b) (a large language model with 2.7 billion parameters).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv... | null |
LanguageMachines/blip2-flan-t5-xl |
# BLIP-2, Flan T5-xl, pre-trained only
BLIP-2 model, leveraging [Flan T5-xl](https://huggingface.co/google/flan-t5-xl) (a large language model).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv.org/abs/2301.12597) by ... | null |
Mediocreatmybest/blip2-opt-2.7b-fp16-sharded |
__Quality of Life duplication:__
_duplicated_from: ybelkada/blip2-opt-2.7b-fp16-sharded_
_Tokenizer duplicated from: Salesforce/blip2-opt-2.7b_
_Safetensors Added_
🥱- _Mediocre_
# BLIP-2, OPT-2.7b, pre-trained only
BLIP-2 model, leveraging [OPT-2.7b](https://huggingface.co/facebook/opt-2.7b) (a large l... | null |
sheraz179/blip2-flan-t5-xl |
# BLIP-2, Flan T5-xl, pre-trained only
BLIP-2 model, leveraging [Flan T5-xl](https://huggingface.co/google/flan-t5-xl) (a large language model).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv.org/abs/2301.12597) by ... | null |
jeff-RQ/new-test-model |
# BLIP-2, OPT-2.7b, pre-trained only
BLIP-2 model, leveraging [OPT-2.7b](https://huggingface.co/facebook/opt-2.7b) (a large language model with 2.7 billion parameters).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv... | null |
PD0AUTOMATIONAL/blip2-endpoint |
# BLIP-2, OPT-6.7b, fine-tuned on COCO
BLIP-2 model, leveraging [OPT-6.7b](https://huggingface.co/facebook/opt-6.7b) (a large language model with 6.7 billion parameters).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arx... | null |
PD0AUTOMATIONAL/blip-large-endpoint |
# BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Model card for image captioning pretrained on COCO dataset - base architecture (with ViT large backbone).
| 
_8-bit / fp4 / float16 / Safetensors_
-🥱 _Mediocre_
# BLIP-2, OPT-2.7b, pre-trained only
BLIP-2 model, leveraging [OPT-2.7b](https://huggingface.co/facebook/opt-2.7b) (a large language model with 2.7 billion parameters).
It was ... | null |
Mediocreatmybest/blip2-opt-6.7b_8bit |
Quantization with [bitsandbytes](https://github.com/TimDettmers/bitsandbytes)
_8-bit / fp4 / float16 / Safetensors_
-🥱 _Mediocre_
# BLIP-2, OPT-6.7b, pre-trained only
BLIP-2 model, leveraging [OPT-6.7b](https://huggingface.co/facebook/opt-6.7b) (a large language model with 6.7 billion parameters).
It was int... | null |
jeff-RQ/blip2-opt-6.7b-coco |
# BLIP-2, OPT-6.7b, fine-tuned on COCO
BLIP-2 model, leveraging [OPT-6.7b](https://huggingface.co/facebook/opt-6.7b) (a large language model with 6.7 billion parameters).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arx... | null |
sheraz179/blip2-flan-t5-xxl |
# BLIP-2, Flan T5-xxl, pre-trained only
BLIP-2 model, leveraging [Flan T5-xxl](https://huggingface.co/google/flan-t5-xxl) (a large language model).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv.org/abs/2301.12597) ... | null |
Gregor/mblip-mt0-xl |
# mBLIP mT0-XL
This is the model checkpoint for our work [mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs](https://arxiv.org/abs/2307.06930).
## Model description
mBLIP is a [BLIP-2](https://arxiv.org/abs/2301.12597) model which consists of 3 sub-models: a Vision Transformer (ViT), a Query-Transformer (... | null |
Fireworks12/git-base-pokemon |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# git-base-pokemon
This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the im... | null |
michelecafagna26/blip-base-captioning-ft-hl-actions | ## BLIP-base fine-tuned for Image Captioning on High-Level descriptions of Actions
[BLIP](https://arxiv.org/abs/2201.12086) base trained on the [HL dataset](https://huggingface.co/datasets/michelecafagna26/hl) for **action generation of images**
## Model fine-tuning 🏋️
- Trained for 6 epochs
- lr: 5e−5,
- Adam op... | null |
michelecafagna26/blip-base-captioning-ft-hl-scenes | ## BLIP-base fine-tuned for Image Captioning on High-Level descriptions of Scenes
[BLIP](https://arxiv.org/abs/2201.12086) base trained on the [HL dataset](https://huggingface.co/datasets/michelecafagna26/hl) for **scene generation of images**
## Model fine-tuning 🏋️
- Trained for 10 epochs
- lr: 5e−5
- Adam opti... | null |
michelecafagna26/blip-base-captioning-ft-hl-rationales | ## BLIP-base fine-tuned for Image Captioning on High-Level descriptions of Rationales
[BLIP](https://arxiv.org/abs/2201.12086) base trained on the [HL dataset](https://huggingface.co/datasets/michelecafagna26/hl) for **rationale generation of images**
## Model fine-tuning 🏋️
- Trained for of 6 epochs
- lr: 5e−5
-... | null |
michelecafagna26/git-base-captioning-ft-hl-actions | ## GIT-base fine-tuned for Image Captioning on High-Level descriptions of Actions
[GIT](https://arxiv.org/abs/2205.14100) base trained on the [HL dataset](https://huggingface.co/datasets/michelecafagna26/hl) for **action generation of images**
## Model fine-tuning 🏋️
- Trained for 10 epochs
- lr: 5e−5
- Adam opti... | null |
michelecafagna26/git-base-captioning-ft-hl-scenes | ## GIT-base fine-tuned for Image Captioning on High-Level descriptions of Scenes
[GIT](https://arxiv.org/abs/2205.14100) base trained on the [HL dataset](https://huggingface.co/datasets/michelecafagna26/hl) for **scene generation of images**
## Model fine-tuning 🏋️
- Trained for 10 epochs
- lr: 5e−5
- Adam optimi... | null |
michelecafagna26/git-base-captioning-ft-hl-rationales | ## GIT-base fine-tuned for Image Captioning on High-Level descriptions of Rationales
[GIT](https://arxiv.org/abs/2205.14100) base trained on the [HL dataset](https://huggingface.co/datasets/michelecafagna26/hl) for **rationale generation of images**
## Model fine-tuning 🏋️
- Trained for of 10
- lr: 5e−5
- Adam o... | null |
michelecafagna26/blip-base-captioning-ft-hl-narratives | ## BLIP-base fine-tuned for Narrative Image Captioning
[BLIP](https://arxiv.org/abs/2201.12086) base trained on the [HL Narratives](https://huggingface.co/datasets/michelecafagna26/hl-narratives) for **high-level narrative descriptions generation**
## Model fine-tuning 🏋️
- Trained for a 3 epochs
- lr: 5e−5
- Ada... | null |
michelecafagna26/git-base-captioning-ft-hl-narratives | ## GIT-base fine-tuned for Narrative Image Captioning
[GIT](https://arxiv.org/abs/2205.14100) base trained on the [HL Narratives](https://huggingface.co/datasets/michelecafagna26/hl-narratives) for **high-level narrative descriptions generation**
## Model fine-tuning 🏋️
- Trained for a 3 epochs
- lr: 5e−5
- Adam ... | null |
michelecafagna26/clipcap-base-captioning-ft-hl-narratives | ## ClipCap fine-tuned for Narrative Image Captioning
[ClipCap](https://arxiv.org/abs/2111.09734) base trained on the [HL Narratives](https://huggingface.co/datasets/michelecafagna26/hl-narratives) for **high-level narrative descriptions generation**
## Model fine-tuning 🏋️
We fine-tune LM + Mapping Network startin... | null |
michelecafagna26/clipcap-base-captioning-ft-hl-actions | ## ClipCap fine-tuned for Action Image Captioning
[ClipCap](https://arxiv.org/abs/2111.09734) base trained on the [HL Dataset](https://huggingface.co/datasets/michelecafagna26/hl) for **high-level action descriptions generation**
## Model fine-tuning 🏋️
We fine-tune LM + Mapping Network starting from the model pre... | null |
michelecafagna26/clipcap-base-captioning-ft-hl-scenes | ## ClipCap fine-tuned for Scene Image Captioning
[ClipCap](https://arxiv.org/abs/2111.09734) base trained on the [HL Dataset](https://huggingface.co/datasets/michelecafagna26/hl) for **high-level scene descriptions generation**
## Model fine-tuning 🏋️
We fine-tune LM + Mapping Network starting from the model pretr... | null |
michelecafagna26/clipcap-base-captioning-ft-hl-rationales | ## ClipCap fine-tuned for Rationale Image Captioning
[ClipCap](https://arxiv.org/abs/2111.09734) base trained on the [HL Dataset](https://huggingface.co/datasets/michelecafagna26/hl) for **high-level rationale descriptions generation**
## Model fine-tuning 🏋️
We fine-tune LM + Mapping Network starting from the mod... | null |
getZuma/image-captioning |
# Update to existing Salesforce model card:
**Added handler to run the model on hugging face inference pipeline.**
Input:
```
{
"inputs": "<Base64 Image>",
"prompts": "<Prompt Text here>"
}
```
Output:
```
{
"captions":"<Generated Image caption>"
}
```
# BLIP-2, OPT-2.7b, pre-trained only... | null |
daniyal214/finetuned-blip-chest-xrays | null | |
daniyal214/finetuned-git-large-chest-xrays | null | |
Mediocreatmybest/instructblip-flan-t5-xl_8bit |
# InstructBLIP model
InstructBLIP model using [Flan-T5-xl](https://huggingface.co/google/flan-t5-xl) as language model. InstructBLIP was introduced in the paper [InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning](https://arxiv.org/abs/2305.06500) by Dai et al.
Disclaimer: The team ... | null |
Mediocreatmybest/instructblip-flan-t5-xxl_8bit |
# BLIP-2, Flan T5-xxl, pre-trained only
BLIP-2 model, leveraging [Flan T5-xxl](https://huggingface.co/google/flan-t5-xxl) (a large language model).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv.org/abs/2301.12597) ... | null |
stabilityai/japanese-instructblip-alpha |
# Japanese InstructBLIP Alpha
## Model Details
Japanese InstructBLIP Alpha is a vision-language instruction-following model that enables to generate Japanese descriptions for input images and optionally input texts such as questions.
## Usage
Firs... | null |
AIris-Channel/vit-gpt2-verifycode-caption |
世萌验证码识别模型,训练集60000张图片,基于vit-gpt2微调
## Use in Transformers
```python
from transformers import VisionEncoderDecoderModel, ViTImageProcessor, AutoTokenizer
import torch
from PIL import Image
model = VisionEncoderDecoderModel.from_pretrained("AIris-Channel/vit-gpt2-verifycode-caption")
feature_extractor = ViTImageProces... | null |
Mediocreatmybest/instructblip-flan-t5-xxl_8bit_nf4 |
Quantization with [bitsandbytes](https://github.com/TimDettmers/bitsandbytes)
_8-bit / nf4 / Safetensors_
-_Mediocre_ 🥱
# InstructBLIP model
InstructBLIP model using [Flan-T5-xxl](https://huggingface.co/google/flan-t5-xxl) as language model. InstructBLIP was introduced in the paper [InstructBLIP: Towards Gene... | null |
Mediocreatmybest/instructblip-flan-t5-xl_8bit_nf4 |
Quantization with [bitsandbytes](https://github.com/TimDettmers/bitsandbytes)
_8-bit / nf4 / Safetensors_
-_Mediocre_ 🥱
# InstructBLIP model
InstructBLIP model using [Flan-T5-xl](https://huggingface.co/google/flan-t5-xl) as language model. InstructBLIP was introduced in the paper [InstructBLIP: Towards General... | null |
alexgk/git-large-coco |
# GIT (GenerativeImage2Text), large-sized, fine-tuned on COCO
GIT (short for GenerativeImage2Text) model, large-sized version, fine-tuned on COCO. It was introduced in the paper [GIT: A Generative Image-to-text Transformer for Vision and Language](https://arxiv.org/abs/2205.14100) by Wang et al. and first released in... | null |
turing-motors/heron-chat-git-ELYZA-fast-7b-v0 | # Heron GIT Japanese ELYZA Llama 2 Fast 7B
## Model Details
Heron GIT Japanese ELYZA Llama 2 Fast 7B is a vision-language model that can converse about input images.<br>
This model was trained using [the heron library](https://github.com/turingmotors/heron). Please refer to the code for de... | null |
turing-motors/heron-chat-git-ja-stablelm-base-7b-v0 | # Heron GIT Japanese StableLM Base 7B
## Model Details
Heron GIT Japanese StableLM Base 7B is a vision-language model that can converse about input images.<br>
This model was trained using [the heron library](https://github.com/turingmotors/heron). Please refer to the code for details.
#... | null |
turing-motors/heron-chat-blip-ja-stablelm-base-7b-v0 | # Heron BLIP Japanese StableLM Base 7B
## DEMO
You can play the demo of this model [here](https://huggingface.co/spaces/turing-motors/heron_chat_blip).
## Model Details
Heron BLIP Japanese StableLM Base 7B is a vision-language model that can converse about input images.<br>
This model wa... | null |
turing-motors/heron-preliminary-git-Llama-2-70b-v0 | # Heron GIT Llama 2 70B Preliminary
## Model Details
Heron GIT Llama 2 70B Preliminary is a vision-language model that was pretrained with image-text pairs.<br>
This model was trained using [the heron library](https://github.com/turingmotors/heron). Please refer to the code for details.
<... | null |
turing-motors/heron-chat-git-Llama-2-7b-v0 | # Heron GIT Llama 2 Fast 7B
## Model Details
Heron GIT Llama 2 7B is a vision-language model that can converse about input images.<br>
This model was trained using [the heron library](https://github.com/turingmotors/heron). Please refer to the code for details.
## Usage
Follow [the inst... | null |
Haimath/BLIP-Math |
# BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Model card for image captioning pretrained on COCO dataset - base architecture (with ViT base backbone).
|  (a large language model with 2.7 billion parameters).
It was introduced in the paper [BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models](https://arxiv... | null |
upro/blip |
# BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Model card for image captioning pretrained on COCO dataset - base architecture (with ViT large backbone).
| .
## Model description
mBLIP is a [BLIP-2](https://arxiv.org/abs/2301.12597) model which consists of 3 sub-models: a Vision Transformer (ViT), a Query-Transforme... | null |
ayoubkirouane/git-base-One-Piece |
# Model Details
+ **Model Name**: Git-base-One-Piece
+ **Base Model**: Microsoft's "git-base" model
+ **Model Type**: Generative Image-to-Text (GIT)
+ **Fine-Tuned** On: 'One-Piece-anime-captions' dataset
+ **Fine-Tuning Purpose**: To generate text captions for images related to the anime series "One Piece."
## Mo... | null |
s3-tresio/blip-image-captioning-base |
# BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Model card for image captioning pretrained on COCO dataset - base architecture (with ViT base backbone).
| ![BLIP.gif](/static-proxy?url=https%3A%2F%2Fcdn-uploads.huggingface.co%2Fproduction%2Fuploads%2F1670928184033-62441d1d9fdefb55a0b7d12...%3C%2Fspan%3E%3C%2Fdiv%3E | null |
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