Any-to-Any
Transformers
ONNX
Safetensors
minicpmo
feature-extraction
minicpm-o
minicpm-v
multimodal
full-duplex
custom_code
Instructions to use openbmb/MiniCPM-o-4_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openbmb/MiniCPM-o-4_5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openbmb/MiniCPM-o-4_5", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
inquery for code to evaluate on LiveCC
#4
by LeeLi4704 - opened
Great work! Just want to check if the evaluation/inference code to run on a streaming task like LiveCC is available?
Thank you for your interest. We expect to open-source the inference and evaluation code for offline speech understanding, offline audio-video understanding, streaming video narration, and streaming audio-video event detection within the next two weeks.
Once the code is released, we will update this issue as soon as possible.