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
Change pipeline tag to any-to-any
#1
by nielsr HF Staff - opened
README.md
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- en
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metrics:
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- accuracy
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pipeline_tag:
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base_model:
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- Qwen/Qwen2.5-1.5B-Instruct
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- DAMO-NLP-SG/VideoLLaMA3-2B-Image
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---
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/626938b16f8f86ad21deb989/tt5KYnAUmQlHtfB1-Zisl.png" width="150" style="margin-bottom: 0.2;"/>
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<p>
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- en
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metrics:
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- accuracy
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pipeline_tag: any-to-any
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base_model:
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- Qwen/Qwen2.5-1.5B-Instruct
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- DAMO-NLP-SG/VideoLLaMA3-2B-Image
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---
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/626938b16f8f86ad21deb989/tt5KYnAUmQlHtfB1-Zisl.png" width="150" style="margin-bottom: 0.2;"/>
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<p>
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