Instructions to use cominder/Iwin-Transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cominder/Iwin-Transformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="cominder/Iwin-Transformer")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cominder/Iwin-Transformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21059f48e94b8ef62a53ee10c418a91b3a02ae3b67f1212b16a22e119c50c514
- Size of remote file:
- 206 MB
- SHA256:
- 4ce0ffd6237e1d6780c5b97bc97f5f8221554f42698112f8f8233c893503195a
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