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/main/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-BeitBackbone/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-BeitBackbone/resolve/main/model.safetensors
118 kB
- Xet hash:
- 73abd15a03f30ac4975ecd66436080ab7f036b201cd4ad6deedbad6ca2e574ad
- Size of remote file:
- 118 kB
- SHA256:
- 0896f224ba212dc331a3b56c3b3bf941df40e9d48d825f8b590ce7ac83a6cc92
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