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/VideoLLaMA3-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DAMO-NLP-SG/VideoLLaMA3-7B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("DAMO-NLP-SG/VideoLLaMA3-7B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model-00004-of-00004.safetensors from DAMO-NLP-SG/VideoLLaMA3-7B: direct link, hf CLI and curl.
- Browser
- Download file 1.29 GB
-
https://huggingface.co/DAMO-NLP-SG/VideoLLaMA3-7B/resolve/main/model-00004-of-00004.safetensors
- Command line
-
hf download hf://DAMO-NLP-SG/VideoLLaMA3-7B/model-00004-of-00004.safetensors
-
curl -L -o model-00004-of-00004.safetensors https://huggingface.co/DAMO-NLP-SG/VideoLLaMA3-7B/resolve/main/model-00004-of-00004.safetensors
1.29 GB
- Xet hash:
- b8fa9964bf77d0d97de3a3d00353e8fe0dec3791ae7a0877e5c9682bfde9ae7b
- Size of remote file:
- 1.29 GB
- SHA256:
- 47e9f7d43163f99f20820ae8f6a95c8440cc66d195b75aa6a662372cacfc9bfb
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