Text Classification
Transformers
ONNX
Safetensors
English
modernbert
rag
governance
hallucination-detection
epistemic-honesty
classification
fitz-gov
pyrrho
text-embeddings-inference
Instructions to use yafitzdev/pyrrho-nano-g1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yafitzdev/pyrrho-nano-g1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yafitzdev/pyrrho-nano-g1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yafitzdev/pyrrho-nano-g1") model = AutoModelForSequenceClassification.from_pretrained("yafitzdev/pyrrho-nano-g1") - Notebooks
- Google Colab
- Kaggle
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license:
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library_name: transformers
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pipeline_tag: text-classification
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language:
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base_model: answerdotai/ModernBERT-base
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# pyrrho-nano-g1
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## License
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## Related projects
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- [**fitz-sage**](https://github.com/yafitzdev/fitz-sage) — production RAG library that uses this model.
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- [**fitz-gov**](https://github.com/yafitzdev/fitz-gov) — the benchmark dataset.
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- [**pyrrho**](https://github.com/yafitzdev/pyrrho) — training code and roadmap for the full model family.
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license: cc-by-nc-4.0
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library_name: transformers
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pipeline_tag: text-classification
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language:
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- en
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base_model: answerdotai/ModernBERT-base
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tags:
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- rag
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- governance
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- hallucination-detection
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- epistemic-honesty
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- classification
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- fitz-gov
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- pyrrho
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datasets:
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- yafitzdev/fitz-gov
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metrics:
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- accuracy
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- f1
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- false-trustworthy-rate
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---
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# pyrrho-nano-g1
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## License
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CC BY-NC 4.0 — see [LICENSE](https://github.com/yafitzdev/pyrrho/blob/main/LICENSE).
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## Related projects
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- [**fitz-sage**](https://github.com/yafitzdev/fitz-sage) — production RAG library that uses this model.
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- [**fitz-gov**](https://github.com/yafitzdev/fitz-gov) — the benchmark dataset.
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- [**pyrrho**](https://github.com/yafitzdev/pyrrho) — training code and roadmap for the full model family.
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