Instructions to use Ensheng/Code-Roberta-MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ensheng/Code-Roberta-MLM with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ensheng/Code-Roberta-MLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6b09b247311e97719473d81baf4b24728e602b9c14cbae37ab3225f4ee44d0b
- Size of remote file:
- 660 Bytes
- SHA256:
- 3f1bb81f793bba98ba8b2329de0d716d203e0e4ceae4129327bf4e6fea277f68
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.