Video-Text-to-Text
Transformers
Safetensors
English
llava
text-generation
multimodal
Eval Results (legacy)
Instructions to use lmms-lab/LLaVA-Video-7B-Qwen2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmms-lab/LLaVA-Video-7B-Qwen2 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("lmms-lab/LLaVA-Video-7B-Qwen2") model = AutoModelForCausalLM.from_pretrained("lmms-lab/LLaVA-Video-7B-Qwen2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from lmms-lab/LLaVA-Video-7B-Qwen2: direct link, hf CLI and curl.
- Browser
- Download file 7.03 MB
-
https://huggingface.co/lmms-lab/LLaVA-Video-7B-Qwen2/resolve/main/tokenizer.json
- Command line
-
hf download hf://lmms-lab/LLaVA-Video-7B-Qwen2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/lmms-lab/LLaVA-Video-7B-Qwen2/resolve/main/tokenizer.json
7.03 MB
File too large to display, you can check the raw version instead.