model = AutoModelForTokenClassification.from_pretrained("akdeniz27/convbert-base-turkish-cased-ner")
tokenizer = AutoTokenizer.from_pretrained("akdeniz27/convbert-base-turkish-cased-ner")
ner = pipeline('ner', model=model, tokenizer=tokenizer, aggregation_strategy="first")
ner("<your text here>")
# Pls refer "https://huggingface.co/transformers/_modules/transformers/pipelines/token_classification.html" for entity grouping with aggregation_strategy parameter.
Reference test results:
accuracy: 0.9937648915431506
f1: 0.9610945644080416
precision: 0.9619899385131359
recall: 0.9602008554956295
Runs of akdeniz27 convbert-base-turkish-cased-ner on huggingface.co
48
Total runs
2
24-hour runs
2
3-day runs
-8
7-day runs
0
30-day runs
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