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:
- 719262c53bed396b78bd43cc0de469329533c701cd8740d5d5ac118dd7b284b5
- Size of remote file:
- 118 kB
- SHA256:
- 2439d59d50c65e6cebedebe7345e9f5fba25c38709c49ca822e2f36ba9bf1ed8
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