Instructions to use lmms-lab/LLaVA-NeXT-Video-7B-DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmms-lab/LLaVA-NeXT-Video-7B-DPO with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("lmms-lab/LLaVA-NeXT-Video-7B-DPO") model = AutoModelForCausalLM.from_pretrained("lmms-lab/LLaVA-NeXT-Video-7B-DPO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b1a56843fd1cf5ece213dcf8b8b3ef1a0c0a3f790d71715f233bdcdf38017aa
- Size of remote file:
- 6.97 kB
- SHA256:
- 3da697326bcf14c583a5b154be1338eff4fe5e93553d32f4fe847835089e33df
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