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:
- 1c5b8e8e5af79f285bba1ed1e877d80e14a19c408d227045c2ca8e5ebad3b39e
- Size of remote file:
- 817 MB
- SHA256:
- adbfdccbe08588ab3612dec7cbb6f1c7b5a8ea04447a814ccf37c04173f0e9e1
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