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 non_lora_trainables.bin from Fujitsu/QViC-MF-7B: direct link, hf CLI and curl.
- Browser
- Download file 116 kB
-
https://huggingface.co/Fujitsu/QViC-MF-7B/resolve/main/non_lora_trainables.bin
- Command line
-
hf download hf://Fujitsu/QViC-MF-7B/non_lora_trainables.bin
-
curl -L -o non_lora_trainables.bin https://huggingface.co/Fujitsu/QViC-MF-7B/resolve/main/non_lora_trainables.bin
116 kB
- Xet hash:
- e25093894b4d1ffd5ccc341e01021a0e44f7405731e9176305803358c5d1824f
- Size of remote file:
- 116 kB
- SHA256:
- 99c0a6d96cafe36e5759091cbcc2826c5442cb85c7f58356989b15a3bd5ffeea
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