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