Instructions to use mrm8488/codebert2codebert-finetuned-code-refinement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/codebert2codebert-finetuned-code-refinement with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/codebert2codebert-finetuned-code-refinement") model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/codebert2codebert-finetuned-code-refinement", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from mrm8488/codebert2codebert-finetuned-code-refinement: direct link, hf CLI and curl.
- Browser
- Download file 615 MB
-
https://huggingface.co/mrm8488/codebert2codebert-finetuned-code-refinement/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://mrm8488/codebert2codebert-finetuned-code-refinement@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/mrm8488/codebert2codebert-finetuned-code-refinement/resolve/refs%2Fpr%2F1/model.safetensors
615 MB
- Xet hash:
- 448dde1c6a22e60992cffa99f4ba80ded62e21b10c8bacf4086fff7f38189204
- Size of remote file:
- 615 MB
- SHA256:
- e42172a28cc9336037a19ef22b23d895898ef717b610fa3133931522eb3609d5
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