Text Classification
Transformers
Safetensors
English
roberta
vulnerability-reporting
usenix-security-2025
github-issues
security-issue-classification
text-embeddings-inference
Instructions to use sifat6412/USENIX25-Security-Issue-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sifat6412/USENIX25-Security-Issue-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sifat6412/USENIX25-Security-Issue-Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sifat6412/USENIX25-Security-Issue-Classifier") model = AutoModelForSequenceClassification.from_pretrained("sifat6412/USENIX25-Security-Issue-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sifat6412/USENIX25-Security-Issue-Classifier: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/sifat6412/USENIX25-Security-Issue-Classifier/resolve/main/tokenizer.json
- Command line
-
hf download hf://sifat6412/USENIX25-Security-Issue-Classifier/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/sifat6412/USENIX25-Security-Issue-Classifier/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.