Video-Text-to-Text
Transformers
Safetensors
English
videollama3_qwen2
text-generation
multi-modal
large-language-model
video-language-model
custom_code
Instructions to use DAMO-NLP-SG/VideoLLaMA3-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DAMO-NLP-SG/VideoLLaMA3-2B with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("DAMO-NLP-SG/VideoLLaMA3-2B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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by mfarre - opened
README.md
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- HuggingFaceM4/Docmatix
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- lmms-lab/LLaVA-Video-178K
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- ShareGPT4Video/ShareGPT4Video
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language:
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- en
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metrics:
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- HuggingFaceM4/Docmatix
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- lmms-lab/LLaVA-Video-178K
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- ShareGPT4Video/ShareGPT4Video
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- HuggingFaceFV/finevideo
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language:
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- en
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metrics:
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