Instructions to use lmms-lab/LLaVA-NeXT-Video-7B 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 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("lmms-lab/LLaVA-NeXT-Video-7B") model = AutoModelForCausalLM.from_pretrained("lmms-lab/LLaVA-NeXT-Video-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d95691122d462d20385424b14bde2cbdc699c396bba7e9ea4915bdb282c46248
- Size of remote file:
- 6.4 kB
- SHA256:
- bd112ffe9e0c21fc2daf411f6672b5650c1ef2d043cd52932edff31a2098e243
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