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
Multimodal AI deployment for vision-language tasks
#17
by Cagnicolas - opened
Lava's LLava Next 13B HF is a trending vision-language model for multimodal tasks, recently updated for better image understanding. It's gaining traction for AI assistants that handle images and text. One option is to expose this as a hosted endpoint so users don't have to run it locally β platforms like AlphaNeural do this. Are you building multimodal AI tools?