Instructions to use Zaib/Vulnerability-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zaib/Vulnerability-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zaib/Vulnerability-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zaib/Vulnerability-detection") model = AutoModelForSequenceClassification.from_pretrained("Zaib/Vulnerability-detection") - Notebooks
- Google Colab
- Kaggle
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README.md
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This model is a fine-tuned version of [mrm8488/codebert-base-finetuned-detect-insecure-code](https://huggingface.co/mrm8488/codebert-base-finetuned-detect-insecure-code) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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This model is a fine-tuned version of [mrm8488/codebert-base-finetuned-detect-insecure-code](https://huggingface.co/mrm8488/codebert-base-finetuned-detect-insecure-code) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5778
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## Model description
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