Instructions to use timm/vit_base_patch32_clip_224.openai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use timm/vit_base_patch32_clip_224.openai with timm:
import timm model = timm.create_model("hf_hub:timm/vit_base_patch32_clip_224.openai", pretrained=True) - Transformers
How to use timm/vit_base_patch32_clip_224.openai with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timm/vit_base_patch32_clip_224.openai", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e158ead2a0efed9c992f4fd26f1977a3636ac6f0e43c8a6755c4ddcb0f61258
- Size of remote file:
- 605 MB
- SHA256:
- bd41409c7f2bb021cd96142f3a490caa78494cf4ec7f245d916bc33641a80d09
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