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:
- a12d41fe79e8dfab86c09ee88f780d9c01ca1dc080b6d8d8795ef4085f48c392
- Size of remote file:
- 206 MB
- SHA256:
- 75332994aa1f98dd743391d864b17e48b9e382884eb919867ad85d5d9b4cbd0e
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