Instructions to use mrm8488/CodeBERTaPy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/CodeBERTaPy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mrm8488/CodeBERTaPy")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/CodeBERTaPy") model = AutoModelForMaskedLM.from_pretrained("mrm8488/CodeBERTaPy") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9c4c21f05bfb40c356f8c54a506bf7f48fbc98e6e5640360f90fa067223eab2
- Size of remote file:
- 334 MB
- SHA256:
- 82f07976f9796bc001ad76a074c447af025649989a86b02286861e696fabd474
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