Video-Text-to-Text
PEFT
llava
video-understanding
long-video
visual-question-answering
lora
qwen2
cvpr2026
Instructions to use Fujitsu/QViC-MF-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Fujitsu/QViC-MF-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lmms-lab/LLaVA-Video-7B-Qwen2") model = PeftModel.from_pretrained(base_model, "Fujitsu/QViC-MF-7B") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Fujitsu/QViC-MF-7B: direct link, hf CLI and curl.
- Browser
- Download file 323 MB
-
https://huggingface.co/Fujitsu/QViC-MF-7B/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Fujitsu/QViC-MF-7B/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Fujitsu/QViC-MF-7B/resolve/main/adapter_model.bin
323 MB
- Xet hash:
- e531484607aa5b9ba6769a0866cd208eab83abcc0efe305757f39bb45c1944ce
- Size of remote file:
- 323 MB
- SHA256:
- db0ec1bfc331941e97ffa0b56491ed1ea7579d7bce005f902a5021f240d5f604
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