Instructions to use Salesforce/codet5-base-codexglue-sum-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/codet5-base-codexglue-sum-python with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Salesforce/codet5-base-codexglue-sum-python") model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5-base-codexglue-sum-python") - Notebooks
- Google Colab
- Kaggle
metadata
license: bsd-3-clause
This is a finetuned CodeT5-base checkpoint on CodeXGLUE code summarization python data.
Pretrained model: https://huggingface.co/Salesforce/codet5-base
Finetuning dataset: https://huggingface.co/datasets/code_x_glue_ct_code_to_text (only the python split)