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%2F66/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-BeitBackbone@refs/pr/66/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-BeitBackbone/resolve/refs%2Fpr%2F66/model.safetensors
118 kB
- Xet hash:
- 38668277b93c3e54275acfaeb3b2dc1bfaecc3a1c98fa8a041f59128e7a353c3
- Size of remote file:
- 118 kB
- SHA256:
- 7d6b6138788c1b32835679af25fea90f9945a91d5e5b8cdc1748afbf34b9b4f0
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