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:
- 8dea20d34b5c6466be3f51c7b80edb299f0f015c751b2bcd8984b4a557ce5908
- Size of remote file:
- 365 MB
- SHA256:
- 117af63268b0611aabab2b53401ed9808da5e600049e44f783df311afc6d4d2e
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