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:
- 9d91c4d0c49c15e0f854f1c58e77eee60f392feb95a2dd6fe4abf1464b01f543
- Size of remote file:
- 817 MB
- SHA256:
- 95a15200bc69dac3388940a3d6b45c2b5c62d743db7b7c26cd11ae950c4d4449
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