Update README.md

README.md

@@ -29,12 +29,34 @@ license: mit
 ```python
 from transformers import pipeline
 
-ner = pipeline("ner", model="ZPM07/sculptor_NER")
+ner_pipeline = pipeline(
+    "ner",
+    model="ZPM07/sculptor_NER",
+    aggregation_strategy="first",
+    device=0
+)
+
 text = "3 подхода по 10 приседаний с весом 50 кг"
-results = ner(text)
+entities = ner_pipeline(text)
+
+def clean_results(entities):
+    cleaned = []
+    for entity in entities:
+        word = entity['word'].replace('Ġ', ' ').strip()
+        if word:
+            cleaned.append({
+                'word': word,
+                'entity': entity['entity_group'],
+                'score': round(entity['score'], 4),
+                'start': entity['start'],
+                'end': entity['end']
+            })
+    return cleaned
 
-for entity in results:
-    print(f"{entity['word']} -> {entity['entity']} (confidence: {entity['score']:.2f})")
+cleaned_entities = clean_results(entities)
+print("Найденные сущности:")
+for entity in cleaned_entities:
+    print(f"- {entity['word']} -> {entity['entity']} (доверие: {entity['score']:.2f}, позиция: {entity['start']}-{entity['end']})")
 ```
 
 ## Пример вывода