Video-Text-to-Text
Transformers
Safetensors
English
internvl_chat
feature-extraction
multimodal
custom_code
Eval Results (legacy)
Instructions to use OpenGVLab/InternVL_2_5_HiCo_R64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/InternVL_2_5_HiCo_R64 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenGVLab/InternVL_2_5_HiCo_R64", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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## 📈 Performance
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| Model | MVBench | LongVideoBench | VideoMME(w/o sub)|
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## 🚀 How to use the model
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## 📈 Performance
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| Model | MVBench | LongVideoBench | VideoMME(w/o sub)|
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|InternVL2.5_HiCo_R64| 74.4 | 62.7 | 66.4|
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