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")# 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 training_args.bin from CIRCL/vulnerability-severity-classification-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/CIRCL/vulnerability-severity-classification-roberta-base/resolve/c72cb401d95fa7b08531079dadd1d9fb0b111df5/training_args.bin
- Command line
-
hf download hf://CIRCL/vulnerability-severity-classification-roberta-base@c72cb401d95fa7b08531079dadd1d9fb0b111df5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CIRCL/vulnerability-severity-classification-roberta-base/resolve/c72cb401d95fa7b08531079dadd1d9fb0b111df5/training_args.bin
5.71 kB
- Xet hash:
- a86fac513b1597f66829d85dbb70f42d15d30438094f3fc9ea836ccf8e96ed7a
- Size of remote file:
- 5.71 kB
- SHA256:
- 03a43dce6c6872ce735948152cb18ef91afbb8419992607ae71ad4f933db1dd9
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