Instructions to use lmms-lab/LLaVA-NeXT-Video-7B-32K 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-32K with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("lmms-lab/LLaVA-NeXT-Video-7B-32K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3962357c10836b246255e40fde84a14b556f6065920758fae5baa6156f635dfb
- Size of remote file:
- 7.93 kB
- SHA256:
- 9acabba6bd09410e62e647d6cb96d0904d83b034f1268796b30f972d0fb27eef
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