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 model.safetensors from CIRCL/vulnerability-severity-classification-russian-ruRoberta-large: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/CIRCL/vulnerability-severity-classification-russian-ruRoberta-large/resolve/b663955b62ec6d94e35d6a05e2fee6d345bfbbf4/model.safetensors
- Command line
-
hf download hf://CIRCL/vulnerability-severity-classification-russian-ruRoberta-large@b663955b62ec6d94e35d6a05e2fee6d345bfbbf4/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/CIRCL/vulnerability-severity-classification-russian-ruRoberta-large/resolve/b663955b62ec6d94e35d6a05e2fee6d345bfbbf4/model.safetensors
1.42 GB
- Xet hash:
- 2d47265ea47f29fa09b76ce3b0e3e82c2b47bc4c290c417512c7db1c19114f52
- Size of remote file:
- 1.42 GB
- SHA256:
- e5c58c51fa174a8225d4337aa54dc87073bec8a5a0933544fe3a406b341e8923
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