Same model as flair/ner-dutch-large but transformed back to pure huggingface pytorch for performance purposes
from transformers import AutoTokenizer, AutoModelForTokenClassification
from transformers import pipeline
tokenizer = AutoTokenizer.from_pretrained("EvanD/dutch-ner-xlm-conll2003")
ner_model = AutoModelForTokenClassification.from_pretrained("EvanD/dutch-ner-xlm-conll2003")
nlp = pipeline("ner", model=ner_model, tokenizer=tokenizer, aggregation_strategy="simple")
example = "George Washington ging naar Washington"
ner_results = nlp(example)
print(ner_results)
# {
# "start_pos": 0,
# "end_pos": 17,
# "text": "George Washington",
# "score": 0.9999986886978149,
# "label": "PER"
# }
# {
# "start_pos": 28,
# "end_pos": 38,
# "text": "Washington",
# "score": 0.9999939203262329,
# "label": "LOC"
# }
- Downloads last month
- 1,125
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.