Text Classification
Transformers
ONNX
Safetensors
English
modernbert
rag
governance
hallucination-detection
evidence-verification
pyrrho
fitz-gov-v2
multi-label-classification
text-embeddings-inference
Instructions to use yafitzdev/pyrrho-v2-nano-g1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yafitzdev/pyrrho-v2-nano-g1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yafitzdev/pyrrho-v2-nano-g1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yafitzdev/pyrrho-v2-nano-g1") model = AutoModelForSequenceClassification.from_pretrained("yafitzdev/pyrrho-v2-nano-g1") - Notebooks
- Google Colab
- Kaggle
| { | |
| "schema_version": "pyrrho-v2-release-manifest-1.0", | |
| "release": { | |
| "model_id": "yafitzdev/pyrrho-v2-nano-g1", | |
| "release_name": "pyrrho-v2-nano-g1", | |
| "created_date": "2026-07-06", | |
| "base_model": "answerdotai/ModernBERT-base", | |
| "architecture": "ModernBertForSequenceClassification", | |
| "num_logits": 18, | |
| "max_length": 2048, | |
| "trustworthy_threshold": null | |
| }, | |
| "source_checkpoint": { | |
| "path": "outputs/modernbert_base_v2_alpha_41358_active_20260704_seed42/best_model", | |
| "run_id": "modernbert_base_v2_alpha_41358_active_20260704_seed42", | |
| "seed": 42, | |
| "training_rows": 41358, | |
| "dataset_pointer": "fitz_gov_v2_41358_20260703" | |
| }, | |
| "dataset": { | |
| "hf_dataset_id": "yafitzdev/fitz-gov-v2", | |
| "active_rows_file": "../fitz-gov-data-vaults/active/fitz_gov_v2_41358_20260703/merged_vault/accepted.rows.jsonl", | |
| "poisoned_or_quarantined_rows_excluded": true | |
| }, | |
| "heads": { | |
| "evidence_verdict": [ | |
| "INSUFFICIENT", | |
| "DISPUTED", | |
| "SUFFICIENT" | |
| ], | |
| "failure_mode": [ | |
| "none", | |
| "unresolved_conflict", | |
| "missing_or_incomplete_evidence", | |
| "wrong_scope_or_version", | |
| "ambiguous_request" | |
| ], | |
| "retrieval_intents": [ | |
| "needs_lookup", | |
| "needs_temporal_resolution", | |
| "needs_comparison_or_set", | |
| "needs_broad_coverage" | |
| ], | |
| "evidence_kinds": [ | |
| "needs_text", | |
| "needs_table_or_record", | |
| "needs_code_or_symbol", | |
| "needs_config_or_setting", | |
| "needs_log_or_run_result", | |
| "needs_document_layout" | |
| ] | |
| }, | |
| "eval": { | |
| "eval_overall_score": 0.949743230482894, | |
| "eval_verdict_accuracy": 0.9726855209088712, | |
| "eval_false_sufficient_rate": 0.04551920341394026, | |
| "eval_failure_accuracy": 0.9601160261058739, | |
| "eval_retrieval_exact_match": 0.8334541938602852, | |
| "eval_retrieval_macro_f1": 0.9299832758138473, | |
| "eval_evidence_kind_exact_match": 0.9809040367416002, | |
| "eval_evidence_kind_macro_f1": 0.9949836611151947 | |
| }, | |
| "fitz_sage_benchmark": { | |
| "balanced_fixed_evidence_toy_cases": "120/120", | |
| "live_total": "86/120", | |
| "live_core": "15/20", | |
| "live_holdout": "38/50", | |
| "live_holdout2": "33/50" | |
| }, | |
| "artifacts": { | |
| "transformers": [ | |
| "config.json", | |
| "model.safetensors", | |
| "tokenizer.json", | |
| "tokenizer_config.json", | |
| "special_tokens_map.json" | |
| ], | |
| "onnx": [ | |
| "model.onnx", | |
| "model_quantized.onnx", | |
| "ort_config.json" | |
| ] | |
| } | |
| } | |