Instructions to use alexjercan/codet5-base-buggy-error-description with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexjercan/codet5-base-buggy-error-description with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alexjercan/codet5-base-buggy-error-description") model = AutoModelForSeq2SeqLM.from_pretrained("alexjercan/codet5-base-buggy-error-description", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signatureHi there! First of all, I want to say that your model is absolutely fantastic. We would love to contribute by updating the README to include information about the base_model. This would help address the current gap in the model card. Thank you!a971b70
-
update model card README.md
5c6897e -
End of training
647e797 -
End of training
aec8963
-
End of training
850da09 -
update model card README.md
9a3278d -
End of training
02c50c5 -
Update README.md
9cf167c -
initial commit
4b86154