Instructions to use NousResearch/Minos-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NousResearch/Minos-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NousResearch/Minos-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NousResearch/Minos-v1") model = AutoModelForSequenceClassification.from_pretrained("NousResearch/Minos-v1") - Inference
- Notebooks
- Google Colab
- Kaggle
add library tag
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by davanstrien HF Staff - opened
README.md
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license: apache-2.0
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base_model:
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- answerdotai/ModernBERT-large
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---
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# Minos Refusal Classifier
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author={Jai Suphavadeeprasit and Teknium and Chen Guang and Shannon Sands and rparikh007},
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year={2025}
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}
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```
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license: apache-2.0
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base_model:
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library_name: transformers
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---
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# Minos Refusal Classifier
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author={Jai Suphavadeeprasit and Teknium and Chen Guang and Shannon Sands and rparikh007},
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year={2025}
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}
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```
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