Instructions to use OpenGVLab/InternViT-6B-224px with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/InternViT-6B-224px with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="OpenGVLab/InternViT-6B-224px", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenGVLab/InternViT-6B-224px", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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# InternViT-6B-224px
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[\[π Blog\]](https://internvl.github.io/blog/) [\[π InternVL 1.0 Paper\]](https://arxiv.org/abs/2312.14238) [\[π InternVL 1.5 Report\]](https://arxiv.org/abs/2404.16821)
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[\[π€ HF Demo\]](https://huggingface.co/spaces/OpenGVLab/InternVL) [\[π Quick Start\]](#
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## Model Details
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- **Model Type:** vision foundation model, feature backbone
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# InternViT-6B-224px
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[\[π GitHub\]](https://github.com/OpenGVLab/InternVL) [\[π Blog\]](https://internvl.github.io/blog/) [\[π InternVL 1.0 Paper\]](https://arxiv.org/abs/2312.14238) [\[π InternVL 1.5 Report\]](https://arxiv.org/abs/2404.16821)
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[\[π¨οΈ Chat Demo\]](https://internvl.opengvlab.com/) [\[π€ HF Demo\]](https://huggingface.co/spaces/OpenGVLab/InternVL) [\[π Quick Start\]](#quick-start) [\[π δΈζθ§£θ―»\]](https://zhuanlan.zhihu.com/p/706547971) [\[π Documents\]](https://internvl.readthedocs.io/en/latest/)
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## Model Details
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- **Model Type:** vision foundation model, feature backbone
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