Image-Text-to-Text
PEFT
Safetensors
English
lora
sft
bitcoin
trading
chart-analysis
qwen3-vl
conversational
Instructions to use LangQuant/LQ-Qwen3-VL-4B-ChartSignal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LangQuant/LQ-Qwen3-VL-4B-ChartSignal with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-VL-4B-Instruct") model = PeftModel.from_pretrained(base_model, "LangQuant/LQ-Qwen3-VL-4B-ChartSignal") - Notebooks
- Google Colab
- Kaggle
Download example.png from LangQuant/LQ-Qwen3-VL-4B-ChartSignal: direct link, hf CLI and curl.
- Browser
- Download file 67.2 kB
-
https://huggingface.co/LangQuant/LQ-Qwen3-VL-4B-ChartSignal/resolve/main/example.png
- Command line
-
hf download hf://LangQuant/LQ-Qwen3-VL-4B-ChartSignal/example.png
-
curl -L -o example.png https://huggingface.co/LangQuant/LQ-Qwen3-VL-4B-ChartSignal/resolve/main/example.png
67.2 kB
