Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
classification
nlp
vulnerability
text-embeddings-inference
Instructions to use CIRCL/vulnerability-severity-classification-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CIRCL/vulnerability-severity-classification-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CIRCL/vulnerability-severity-classification-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CIRCL/vulnerability-severity-classification-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("CIRCL/vulnerability-severity-classification-roberta-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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base_model: roberta-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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base_model: roberta-base
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tags:
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- generated_from_trainer
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- text-classification
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- classification
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- nlp
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- vulnerability
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metrics:
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- accuracy
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model-index:
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