Instructions to use hf-tiny-model-private/tiny-random-SwinBackbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-SwinBackbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, SwinBackbone processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-SwinBackbone") model = SwinBackbone.from_pretrained("hf-tiny-model-private/tiny-random-SwinBackbone") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13e8fb8fdec580d5d3e69b32eb6a29275ab8fcae21eeecbefb524ccf46d0bbd0
- Size of remote file:
- 284 kB
- SHA256:
- 21730899adc85030c1bb2fa6855d379d416e7b7ab771c31cf33c0afa30c9bc8d
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