How to use StephanAkkerman/stock-recognizer-gliner2-base with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("fastino/gliner2-base-v1") model = PeftModel.from_pretrained(base_model, "StephanAkkerman/stock-recognizer-gliner2-base")
How to use StephanAkkerman/stock-recognizer-gliner2-base with GLiNER2:
from gliner2 import AutoExtractor extractor = AutoExtractor.from_pretrained("StephanAkkerman/stock-recognizer-gliner2-base") # Extract entities text = "Apple CEO Tim Cook announced iPhone 15 in Cupertino yesterday." result = extractor.extract_entities(text, ["company", "person", "product", "location"]) print(result)
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