Text Classification
Transformers
Safetensors
Russian
roberta
vulnerability
severity
cybersecurity
fstec
Generated from Trainer
text-embeddings-inference
Instructions to use CIRCL/vulnerability-severity-classification-russian-ruRoberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CIRCL/vulnerability-severity-classification-russian-ruRoberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CIRCL/vulnerability-severity-classification-russian-ruRoberta-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CIRCL/vulnerability-severity-classification-russian-ruRoberta-large") model = AutoModelForSequenceClassification.from_pretrained("CIRCL/vulnerability-severity-classification-russian-ruRoberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from CIRCL/vulnerability-severity-classification-russian-ruRoberta-large: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/CIRCL/vulnerability-severity-classification-russian-ruRoberta-large/resolve/main/training_args.bin
- Command line
-
hf download hf://CIRCL/vulnerability-severity-classification-russian-ruRoberta-large/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CIRCL/vulnerability-severity-classification-russian-ruRoberta-large/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- 2c29787af06a65d5267546ff152032de0643c5b3bff65593330874eec58c8d0b
- Size of remote file:
- 5.27 kB
- SHA256:
- c2da8bcf496a32af15208b36b8293f6626aaf4cd3f1122beaa520bc59a105491
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