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:
- e9b5f16fcd004cabe84245b0b7becf9d31bbbe625ca18322c78d035ae76abb29
- Size of remote file:
- 365 MB
- SHA256:
- 76195b99645a696c34292801acc5a4750197d21f9860b08d07aa1bda22bc914e
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