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")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("yujiepan/tiny-random-SwinModel") model = AutoModel.from_pretrained("yujiepan/tiny-random-SwinModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a51c9527645a6ec762cb3a903ee3accfb031ad71ce01efafd356349ed1b90c9e
- Size of remote file:
- 283 kB
- SHA256:
- e7d52a6c856f416ad106777a179444dcfdf59ed84a698054a3ac4808c89e1ad4
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