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:
- 052435fd08cce8dd32a6a51887a5d0d1b74cd63e4c28911367df4e42dfa5bd3e
- Size of remote file:
- 118 kB
- SHA256:
- 7cabd929a10bdb0da4f98a4b0a5490e8f68e43c2ab5ce76517fe40e900332f6c
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