tceron/wildseek
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How to use tceron/high-risk-classifier with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="tceron/high-risk-classifier") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("tceron/high-risk-classifier")
model = AutoModelForSequenceClassification.from_pretrained("tceron/high-risk-classifier", device_map="auto")This classifier classifier information seeking queries into 7 categories for high-risk sensitive queries.
Labels:
0: "Other",
1: "Economic and Financial",
2: "Health",
3: "Politics",
4: "Judicial and Legal",
5: "Moral Values and Religion",
6: "Security",
All details in:
@inproceedings{ceron2026wildseek,
title = {WildSEEK: Evaluating Language Models for Information-Seeking},
author = {Ceron, Tanise and Baumann, Joachim and Bassignana, Elisa and Cabuk, Berat and Hovy, Dirk and Nozza, Debora},
booktitle = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},
year = {2026}
}
tceron/info-seek-classifier — information seeking, content creation, coding, not english, no requesttceron/open-endedness-classifier — Analytical, FactualBase model
answerdotai/ModernBERT-large