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:
- 4f1658084b33d04fc3258dd0dbd872b9addbcc314848869603b9e0120ec477f5
- Size of remote file:
- 365 MB
- SHA256:
- 1a80003deb4e2eca618b4c7ce344ddc208182fe3d52141d53e2f554a894183ec
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