Instructions to use hf-internal-testing/tiny-random-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-t5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3338121b86d00e94c52aad782183aa815a8c7ab63f2d1af952d82eda89375bb3
- Size of remote file:
- 8.16 MB
- SHA256:
- fff6ba791c6e8249310a9d6f178b3fcdd8c7c6a29120c47abe14ee1af86733fb
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