Instructions to use ayeshgk/codet5-small-java-buggy-to-fixed-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayeshgk/codet5-small-java-buggy-to-fixed-code with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ayeshgk/codet5-small-java-buggy-to-fixed-code") model = AutoModelForSeq2SeqLM.from_pretrained("ayeshgk/codet5-small-java-buggy-to-fixed-code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ayeshgk/codet5-small-java-buggy-to-fixed-code: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/ayeshgk/codet5-small-java-buggy-to-fixed-code/resolve/fdcf3a70eb60370ae1273daf95e3cecc492ccc19/tokenizer.json
- Command line
-
hf download hf://ayeshgk/codet5-small-java-buggy-to-fixed-code@fdcf3a70eb60370ae1273daf95e3cecc492ccc19/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ayeshgk/codet5-small-java-buggy-to-fixed-code/resolve/fdcf3a70eb60370ae1273daf95e3cecc492ccc19/tokenizer.json
1.37 MB
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