Update README.md

README.md

@@ -21,7 +21,7 @@ metrics:
   - false-trustworthy-rate
 ---
 
-# pyrrho-modernbert-base-v1
+# pyrrho-nano-g1
 
 > Decide whether your retrieved sources support a confident answer, contradict each other, or simply don't contain it — **without an LLM call**.
 
@@ -68,8 +68,8 @@ Validated on the [fitz-gov](https://github.com/yafitzdev/fitz-gov) V5.1 eval spl
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch
 
-tokenizer = AutoTokenizer.from_pretrained("yafitzdev/pyrrho-modernbert-base-v1")
-model = AutoModelForSequenceClassification.from_pretrained("yafitzdev/pyrrho-modernbert-base-v1").eval()
+tokenizer = AutoTokenizer.from_pretrained("yafitzdev/pyrrho-nano-g1")
+model = AutoModelForSequenceClassification.from_pretrained("yafitzdev/pyrrho-nano-g1").eval()
 
 query = "Has the company achieved profitability?"
 contexts = [
@@ -99,9 +99,9 @@ For production CPU inference at ~30 ms / case, load the INT8 ONNX variant via `o
 from optimum.onnxruntime import ORTModelForSequenceClassification
 from transformers import AutoTokenizer
 
-tokenizer = AutoTokenizer.from_pretrained("yafitzdev/pyrrho-modernbert-base-v1")
+tokenizer = AutoTokenizer.from_pretrained("yafitzdev/pyrrho-nano-g1")
 model = ORTModelForSequenceClassification.from_pretrained(
-    "yafitzdev/pyrrho-modernbert-base-v1",
+    "yafitzdev/pyrrho-nano-g1",
     file_name="model_quantized.onnx",
 )
 # Same input format as above...
@@ -171,10 +171,10 @@ fitz-gov commit at training time: `3e1d22e22fdff726330a0d70503b07f73dacf817`
 
 ```bibtex
 @misc{pyrrho_v1_2026,
-  title  = { pyrrho-modernbert-base-v1 },
+  title  = { pyrrho-nano-g1 },
   author = { Yan Fitzner },
   year   = { 2026 },
-  url    = { https://huggingface.co/yafitzdev/pyrrho-modernbert-base-v1 },
+  url    = { https://huggingface.co/yafitzdev/pyrrho-nano-g1 },
 }
 ```