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:
- c9fa2c23d797195440b8bd3bde8fd5f817be1b5bed11a4c3d7077cde3a532168
- Size of remote file:
- 151 MB
- SHA256:
- 1e37f5e0838325ec15e42cbd7155d6dbe3508122c547c37e2a8d32d683619a3b
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