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 generation_config.json from Fujitsu/QViC-MF-7B: direct link, hf CLI and curl.
- Browser
- Download file 248 Bytes
-
https://huggingface.co/Fujitsu/QViC-MF-7B/resolve/main/generation_config.json
- Command line
-
hf download hf://Fujitsu/QViC-MF-7B/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Fujitsu/QViC-MF-7B/resolve/main/generation_config.json
248 Bytes
| { | |
| "bos_token_id": 151643, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 151645, | |
| 151643 | |
| ], | |
| "pad_token_id": 151643, | |
| "repetition_penalty": 1.05, | |
| "temperature": 0.7, | |
| "top_k": 20, | |
| "top_p": 0.8, | |
| "transformers_version": "4.40.0.dev0" | |
| } | |