Instructions to use hf-internal-testing/tiny-random-Swin2SRModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Swin2SRModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-internal-testing/tiny-random-Swin2SRModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-Swin2SRModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-Swin2SRModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 148746352b34f2c4f40243238f0ae9ad234bbb93b99c833938a762b9cdfc3e1c
- Size of remote file:
- 135 kB
- SHA256:
- ec16629c0e9a438daaf1d768d62d995ebe8153bee0d924baaaa640a22e58884a
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