Instructions to use hf-internal-testing/tiny-random-electra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-electra with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-electra", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9046cd69432ff73aa8c8f431e4bcacc669af40c719df704cfac3ecb9ab03ef3f
- Size of remote file:
- 1.64 MB
- SHA256:
- c51155b634c500d5361d115d77760cee8982ed52ebea36c6dc603a50c42655ae
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.