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 merges.txt from DAMO-NLP-SG/VideoLLaMA3-7B: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/DAMO-NLP-SG/VideoLLaMA3-7B/resolve/2f25cd48c3fc8b139dd23b95a2222dc5ee5acef3/merges.txt
- Command line
-
hf download hf://DAMO-NLP-SG/VideoLLaMA3-7B@2f25cd48c3fc8b139dd23b95a2222dc5ee5acef3/merges.txt
-
curl -L -o merges.txt https://huggingface.co/DAMO-NLP-SG/VideoLLaMA3-7B/resolve/2f25cd48c3fc8b139dd23b95a2222dc5ee5acef3/merges.txt
1.67 MB
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