Instructions to use hf-internal-testing/tiny-random-albert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-albert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-albert", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fe33ef332f8bd3c77c22b625f403b885a1ffc17cfed0b6af28a3f2b746732f3
- Size of remote file:
- 1.57 MB
- SHA256:
- 2ae6d5a25bd98300476cd3c5492c4cd59ac44b9892ddd93c75521e1833157a21
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