Instructions to use Salesforce/codet5-base-codexglue-sum-javascript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/codet5-base-codexglue-sum-javascript with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Salesforce/codet5-base-codexglue-sum-javascript") model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5-base-codexglue-sum-javascript", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Salesforce/codet5-base-codexglue-sum-javascript: direct link, hf CLI and curl.
- Browser
- Download file 295 Bytes
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https://huggingface.co/Salesforce/codet5-base-codexglue-sum-javascript/resolve/337729f9be07bd9b40ff647b176c2190d8d66513/README.md
- Command line
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hf download hf://Salesforce/codet5-base-codexglue-sum-javascript@337729f9be07bd9b40ff647b176c2190d8d66513/README.md
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curl -L -o README.md https://huggingface.co/Salesforce/codet5-base-codexglue-sum-javascript/resolve/337729f9be07bd9b40ff647b176c2190d8d66513/README.md
295 Bytes
metadata
license: bsd-3-clause
This is a finetuned CodeT5-base checkpoint on CodeXGLUE code summarization JavaScript data.
Pretrained model: https://huggingface.co/Salesforce/codet5-base
Finetuning dataset: https://huggingface.co/datasets/code_x_glue_ct_code_to_text (only the JavaScript split)