Instructions to use yujiepan/tiny-random-SwinModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yujiepan/tiny-random-SwinModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="yujiepan/tiny-random-SwinModel", device_map="auto")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("yujiepan/tiny-random-SwinModel") model = AutoModel.from_pretrained("yujiepan/tiny-random-SwinModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 182079f551fd00655236c5d25fb2504fec4b9783fc7a09ef4844221359146350
- Size of remote file:
- 266 kB
- SHA256:
- 567f381f26aa9419ec59b3b817f96f0b51a911862a91ffbdb43caf9d31de99b6
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