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:
- 74eedb942ae46407712e18841a4a9c900c6236b9b55c4fc73d825cd86f2d1ee7
- Size of remote file:
- 365 MB
- SHA256:
- 54fc69ce4214fc8eb6c4eb392de83e8317c1c1aa90ecc4b64d8ccd08441764a0
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