Instructions to use hf-internal-testing/tiny-random-BeitBackbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BeitBackbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, BeitBackbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-BeitBackbone") model = BeitBackbone.from_pretrained("hf-internal-testing/tiny-random-BeitBackbone") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d60a5a6c070004d9cc169599b7cbc8e224c9c1b9a24c3dd2268cdbffe7b28ae
- Size of remote file:
- 118 kB
- SHA256:
- f51fb085fa194032fb2931562a2a3912730c37e43308304350ac3761c42d8711
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