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")
https://huggingface.co/CIRCL/vulnerability-severity-classification-russian-ruRoberta-large/resolve/b66a1570907c5e9e80d7f8204c5bc83ef52fc8a8/tokenizer.json
hf download hf://CIRCL/vulnerability-severity-classification-russian-ruRoberta-large@b66a1570907c5e9e80d7f8204c5bc83ef52fc8a8/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/CIRCL/vulnerability-severity-classification-russian-ruRoberta-large/resolve/b66a1570907c5e9e80d7f8204c5bc83ef52fc8a8/tokenizer.json
