Instructions to use lmms-lab/LLaVA-NeXT-Video-34B-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-34B-DPO with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("lmms-lab/LLaVA-NeXT-Video-34B-DPO") model = AutoModelForCausalLM.from_pretrained("lmms-lab/LLaVA-NeXT-Video-34B-DPO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a110f1dfb5887eebbb38c280ca0a758ae000799cf6a81b1be74f37f63517eb6
- Size of remote file:
- 7.04 kB
- SHA256:
- b6293943fae899668fc7536a79f85e1dbfd987ea22de9ee52694e9884dc9b2bc
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