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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2315022d8903d9fb50e95ca30ea4f7db8e7d38b8df78e02c26c3869731728746
- Size of remote file:
- 520 kB
- SHA256:
- ee24a75c56a0f32c871229a719e24cdb57e56a879dd3cff15bbd478b70073bdc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.