Instructions to use alexjercan/codet5-base-buggy-code-repair with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexjercan/codet5-base-buggy-code-repair with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alexjercan/codet5-base-buggy-code-repair") model = AutoModelForSeq2SeqLM.from_pretrained("alexjercan/codet5-base-buggy-code-repair", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from alexjercan/codet5-base-buggy-code-repair: direct link, hf CLI and curl.
- Browser
- Download file 511 kB
-
https://huggingface.co/alexjercan/codet5-base-buggy-code-repair/resolve/main/vocab.json
- Command line
-
hf download hf://alexjercan/codet5-base-buggy-code-repair/vocab.json
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curl -L -o vocab.json https://huggingface.co/alexjercan/codet5-base-buggy-code-repair/resolve/main/vocab.json
511 kB
File too large to display, you can check the raw version instead.