Instructions to use mrm8488/codebert2codebert-finetuned-code-defect-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/codebert2codebert-finetuned-code-defect-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrm8488/codebert2codebert-finetuned-code-defect-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/codebert2codebert-finetuned-code-defect-detection") model = AutoModelForSequenceClassification.from_pretrained("mrm8488/codebert2codebert-finetuned-code-defect-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mrm8488/codebert2codebert-finetuned-code-defect-detection: direct link, hf CLI and curl.
- Browser
- Download file 1.36 MB
-
https://huggingface.co/mrm8488/codebert2codebert-finetuned-code-defect-detection/resolve/main/tokenizer.json
- Command line
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hf download hf://mrm8488/codebert2codebert-finetuned-code-defect-detection/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/mrm8488/codebert2codebert-finetuned-code-defect-detection/resolve/main/tokenizer.json
1.36 MB
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