Instructions to use hf-internal-testing/tiny-random-ibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ibert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-ibert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 67bd9377be31c584c0f0ea96211b42fa2923540ce2789d7a871914fdfd3da4de
- Size of remote file:
- 954 kB
- SHA256:
- c306006fc53702668466d07da8c5b387c8408dab76a834ab041cfd021f1cf692
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