Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use CIRCL/vulnerability-severity-classification-roberta-base-expA 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-expA 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-expA")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CIRCL/vulnerability-severity-classification-roberta-base-expA") model = AutoModelForSequenceClassification.from_pretrained("CIRCL/vulnerability-severity-classification-roberta-base-expA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac15ae131f56d67f7d1442b50532b287cbd9a264553dc22974017a2da9d2ec4a
- Size of remote file:
- 5.84 kB
- SHA256:
- af5181f0237766317a1e2ba2a5308a65f29113895a8bcf61c28c493efa01ad82
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