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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be2f5ad963ef9f366a28afda287f19b8355103b0562e4ad63212a1bacb3d1d59
- Size of remote file:
- 615 MB
- SHA256:
- f430c4222d24c0243b9de97e1658e9bff3e1d8b795188daa70d9e875566e184e
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