Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use CIRCL/vulnerability-severity-classification-roberta-base-expB 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-expB 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-expB")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CIRCL/vulnerability-severity-classification-roberta-base-expB") model = AutoModelForSequenceClassification.from_pretrained("CIRCL/vulnerability-severity-classification-roberta-base-expB") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1f054cce2804bce95f7e517070762202bdd3dbd007ccc1e4b5070b121b4a7fd
- Size of remote file:
- 5.84 kB
- SHA256:
- 64764c56dfb63fbf11c095e683af0e15bb0b53bd7c4b27d44f051d01ee56da19
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