Instructions to use hf-internal-testing/tiny-random-reformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-reformer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-reformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 093d4ef5b0f447298157d06233d07ae7a41fa83bfe2cc1ff95f950c18b0a2b80
- Size of remote file:
- 719 kB
- SHA256:
- 14cb2ec9cd7a3e47120e0e79fb21e23343466567932804e0c490ff21f6999a6e
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