Instructions to use llava-hf/LLaVA-NeXT-Video-7B-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llava-hf/LLaVA-NeXT-Video-7B-hf with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("llava-hf/LLaVA-NeXT-Video-7B-hf") model = AutoModelForMultimodalLM.from_pretrained("llava-hf/LLaVA-NeXT-Video-7B-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
What's the difference between this llava-hf and lmms-lab? Why the checkpoints of Llava-Next-Video is different?
As said in title, why the LLava-next-videos-7b in llava-hf is pretrained by vicuna-7b-v1.5, but the same size in lmms-labs is released by Qwen? Why release different models?
Hope to get you response soon! Thank you!
Best wishes
These are the prev video models, one of which is https://huggingface.co/lmms-lab/LLaVA-NeXT-Video-7B/blob/main/config.json. They were based on vicuna. The new video models are not still converted to HF format
The general aim of out org is to convert llava models into HF compatible format so that it can be used by directly calling from_pretrained and support various generation tecniques. I can look into the new model series and convert them soon, thanks!
Thank you for your reply!