How to use CIRCL/vulnerability-attack-technique-classification-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CIRCL/vulnerability-attack-technique-classification-roberta-base")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CIRCL/vulnerability-attack-technique-classification-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("CIRCL/vulnerability-attack-technique-classification-roberta-base", device_map="auto")
https://huggingface.co/CIRCL/vulnerability-attack-technique-classification-roberta-base/resolve/main/tokenizer.json
hf download hf://CIRCL/vulnerability-attack-technique-classification-roberta-base/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/CIRCL/vulnerability-attack-technique-classification-roberta-base/resolve/main/tokenizer.json
