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:
- e6407876a016646c2345c2fbec653681136643da7e074efe5886819aac5ab8b2
- Size of remote file:
- 121 MB
- SHA256:
- 3da1fd56e7760ebf9ff04139a7579f9c970ebe57aa7831eac1bf24ac040276f9
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