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:
- 752e1441f2d5031efa24edf4883813de469073a527800c623e5fb27448c03283
- Size of remote file:
- 365 MB
- SHA256:
- 2334e26a0168968fc070a7f6ba9360438789c76f6527ae33b1de4aac9e92ef4c
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