Instructions to use tceron/high-risk-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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")# pip install -U transformers accelerate # 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") - Notebooks
- Google Colab
- Kaggle
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## Model Details
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All details in:
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```bibtex
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@inproceedings{ceron2026wildseek,
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title = {WildSEEK: Evaluating Language Models for Information-Seeking},
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## Other classifiers from this study are:
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- **`tceron/info-seek-classifier`** — information seeking, content creation, coding, not english, no request
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- **`tceron/open-endedness-classifier`** — Analytical,
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## Model Details
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All details in [paper](https://arxiv.org/abs/2608.30683):
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```bibtex
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@inproceedings{ceron2026wildseek,
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title = {WildSEEK: Evaluating Language Models for Information-Seeking},
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## Other classifiers from this study are:
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- **`tceron/info-seek-classifier`** — information seeking, content creation, coding, not english, no request
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- **`tceron/open-endedness-classifier`** — Analytical, Factoid
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