Text Classification
Transformers
ONNX
Safetensors
English
modernbert
rag
governance
hallucination-detection
classification
fitz-gov
pyrrho
text-embeddings-inference
Instructions to use yafitzdev/pyrrho-v1-nano-g2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yafitzdev/pyrrho-v1-nano-g2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yafitzdev/pyrrho-v1-nano-g2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yafitzdev/pyrrho-v1-nano-g2") model = AutoModelForSequenceClassification.from_pretrained("yafitzdev/pyrrho-v1-nano-g2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b6e82c3e33641dd9f702594f47a39c86611ed6c205ada8b9946e727ec581c56
- Size of remote file:
- 2.96 MB
- SHA256:
- fcbbe3be2c39ab724f2dc23faf4c4e91784618eec46e29c6abe45d34ae6ba83c
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