Instructions to use mrm8488/codebert2codebert-finetuned-code-refinement-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/codebert2codebert-finetuned-code-refinement-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/codebert2codebert-finetuned-code-refinement-small") model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/codebert2codebert-finetuned-code-refinement-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ace62c6d2b4f753b91f8321bce5d585a0a7851bcd322303ca0060996efd37673
- Size of remote file:
- 615 MB
- SHA256:
- 0431e177f9b7fe03bfd6534aaa3c3c650e29d6c5f16843745e4d453708b31597
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