# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("spyysalo/example-turku-ner-model")
model = AutoModelForTokenClassification.from_pretrained("spyysalo/example-turku-ner-model")Quick Links
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Check out the documentation for more information.
This is an example NER model created by fine-tuning TurkuNLP/bert-base-finnish-cased-v1 on turku_ner_corpus for teaching purposes. It is not highly optimized and not recommended for any serious use.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="spyysalo/example-turku-ner-model")