Text Classification
Transformers
ONNX
Safetensors
English
modernbert
rag
governance
hallucination-detection
classification
fitz-gov
pyrrho
text-embeddings-inference
Instructions to use yafitzdev/pyrrho-nano-g3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yafitzdev/pyrrho-nano-g3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yafitzdev/pyrrho-nano-g3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yafitzdev/pyrrho-nano-g3") model = AutoModelForSequenceClassification.from_pretrained("yafitzdev/pyrrho-nano-g3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 373d840e69dc3414c43ae87eeadb5b6ba2cea114f86b81a0248f03758d351f43
- Size of remote file:
- 299 MB
- SHA256:
- e543cc03fd0e84dbe265ae34cdb16260f942b50e9cb7b67f3344b1cbda78c46b
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