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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-BeitBackbone: direct link, hf CLI and curl.
- Browser
- Download file 118 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-BeitBackbone/resolve/refs%2Fpr%2F5/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-BeitBackbone@refs/pr/5/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-BeitBackbone/resolve/refs%2Fpr%2F5/model.safetensors
118 kB
- Xet hash:
- 3a32900a007c886ed241e5ba8e89107f7fec9ef7f8fb5682eddcdd97d8f6914f
- Size of remote file:
- 118 kB
- SHA256:
- cf7dd56f6b11ca9a0b484863f6d4e27c2cc7fa2be69fccf280c66d9447f65119
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