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-modernbert-base-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yafitzdev/pyrrho-modernbert-base-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yafitzdev/pyrrho-modernbert-base-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yafitzdev/pyrrho-modernbert-base-v1") model = AutoModelForSequenceClassification.from_pretrained("yafitzdev/pyrrho-modernbert-base-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e9b29432322cf8d73ba4f1bf19fc530107af0b12357d56a7a73f6654808cfe5
- Size of remote file:
- 599 MB
- SHA256:
- 2dda9ff4e053f1386000d003db3f3f5541033f3c76d9ebf66704e3384a8c3fd7
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