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 pytorch_model.bin 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/pytorch_model.bin
- Command line
-
hf download hf://mrm8488/codebert2codebert-finetuned-code-refinement@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mrm8488/codebert2codebert-finetuned-code-refinement/resolve/refs%2Fpr%2F1/pytorch_model.bin
615 MB
- Xet hash:
- f4f67e7285437773b02dc7212dcc80a49a7de67c06279d58131898862419e10f
- Size of remote file:
- 615 MB
- SHA256:
- ba4d40a979f41205e7641e97928a898b69dbac9656f07063b0a1cc6b1016e113
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