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:
- 6a26b04137a62802260f6731ee6cf547b26383c6c029ae3d5712d0c8f4a7861d
- Size of remote file:
- 451 MB
- SHA256:
- e00fdee2633f764db16a174581a952aff4b0cdd36799eb0bbdc2dcd66858ec8e
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