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
- Xet hash:
- 25bc01965bb7d9fe8e77c65a7f2831f512e80ee25bdb71313e96cc0af6c93381
- Size of remote file:
- 9.92 GB
- SHA256:
- c49bb4c1a68fa2a45999324f70cbae8a64f6c9be78dbcd754c27079a983a9298
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