Instructions to use hf-internal-testing/tiny-random-deit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-deit with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-deit", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a49709f8375efc5008649d12c4d9343345f7c1c6da44ecf060187a6f7a49bdfe
- Size of remote file:
- 201 kB
- SHA256:
- 64c3f1c91b3423fc7229512c7200d786976665220221609057ac695b7758dcbc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.