Instructions to use Salesforce/codet5p-220m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/codet5p-220m with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Salesforce/codet5p-220m") model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5p-220m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signatureThe CodeT5+ model is truly impressive! We would like to contribute by updating the README to include information about the base model. This is to help address the missing details in the model card.88f76d7
-
Update README.md with ethical considerations (#8)
Verified signature- Update README.md with ethical considerations (bf083cfd2992d3c59db0f16cdcba4670b9e72ebc) Co-authored-by: Prathyusha Jwalapuram <pjwalapuram@users.noreply.huggingface.co>2b92f36
-
Update README.md
bcef69c
-
Update README.md
5c23e79 -
Update config.json
8027b7c -
Update config.json
04a5651
-
Initial commit
4f545b7 -
initial commit
9d331bb