Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
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")# pip install -U transformers accelerate # 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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from CIRCL/vulnerability-severity-classification-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/CIRCL/vulnerability-severity-classification-roberta-base/resolve/b819db278c339237f42283b03f1a0a064e56e57e/tokenizer.json
- Command line
-
hf download hf://CIRCL/vulnerability-severity-classification-roberta-base@b819db278c339237f42283b03f1a0a064e56e57e/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/CIRCL/vulnerability-severity-classification-roberta-base/resolve/b819db278c339237f42283b03f1a0a064e56e57e/tokenizer.json
3.56 MB
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