Instructions to use Salesforce/codet5-base-codexglue-defect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/codet5-base-codexglue-defect with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Salesforce/codet5-base-codexglue-defect") model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5-base-codexglue-defect") - Notebooks
- Google Colab
- Kaggle
| license: bsd-3-clause | |
| ## Ethics disclaimer for Salesforce AI models, data, code | |
| This release is for research purposes only in support of an academic | |
| paper. Our models, datasets, and code are not specifically designed or | |
| evaluated for all downstream purposes. We strongly recommend users | |
| evaluate and address potential concerns related to accuracy, safety, and | |
| fairness before deploying this model. We encourage users to consider the | |
| common limitations of AI, comply with applicable laws, and leverage best | |
| practices when selecting use cases, particularly for high-risk scenarios | |
| where errors or misuse could significantly impact people’s lives, rights, | |
| or safety. For further guidance on use cases, refer to our standard | |
| [AUP](https://www.salesforce.com/content/dam/web/en_us/www/documents/legal/Agreements/policies/ExternalFacing_Services_Policy.pdf) | |
| and [AI AUP](https://www.salesforce.com/content/dam/web/en_us/www/documents/legal/Agreements/policies/ai-acceptable-use-policy.pdf). | |