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
- Xet hash:
- ed8e0db884769872ab3cfa1918e4ab3002add0c02bcfc3fc76f4196a99033254
- Size of remote file:
- 5.33 kB
- SHA256:
- 4fed503167938b6f5ae1dcf6f5ee14cb3ed1c9517c6dec60fa2d4cdf1068e8e0
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