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:
- 330ed98eadf6fefd001a98eaeecd504c0f28f6f69d40121ab38667bc159f467c
- Size of remote file:
- 47.7 MB
- SHA256:
- 8f8bb77dff21c416af358257cbf8d478abe4c52beb82c522ef5a62247b954bf0
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