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:
- 554d281bb2c41f71a2e556c8301e8df6ac08cb40d724782ace5d81c383d4d289
- Size of remote file:
- 365 MB
- SHA256:
- 0fd1b7ed5aafa266b8e8510a556b2075c93c9cf1c5b4966a6f5038b3e03a4b7c
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