Instructions to use lmms-lab/LLaVA-NeXT-Video-32B-Qwen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmms-lab/LLaVA-NeXT-Video-32B-Qwen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("lmms-lab/LLaVA-NeXT-Video-32B-Qwen") model = AutoModelForCausalLM.from_pretrained("lmms-lab/LLaVA-NeXT-Video-32B-Qwen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from lmms-lab/LLaVA-NeXT-Video-32B-Qwen: direct link, hf CLI and curl.
- Browser
- Download file 1.97 MB
-
https://huggingface.co/lmms-lab/LLaVA-NeXT-Video-32B-Qwen/resolve/main/trainer_state.json
- Command line
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hf download hf://lmms-lab/LLaVA-NeXT-Video-32B-Qwen/trainer_state.json
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curl -L -o trainer_state.json https://huggingface.co/lmms-lab/LLaVA-NeXT-Video-32B-Qwen/resolve/main/trainer_state.json
1.97 MB
File too large to display, you can check the raw version instead.