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Model: wietsedv/bert-base-multilingual-cased-finetuned-conll2002-ner
pytorch bert token-classification
token-classification mask_token: [MASK]
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wietsedv/bert-base-multilingual-cased-finetuned-conll2002-ner wietsedv/bert-base-multilingual-cased-finetuned-conll2002-ner
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pytorch

tf

Contributed by

wietsedv Wietse de Vries university
10 models

How to use this model directly from the 🤗/transformers library: 

			
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			from transformers import AutoTokenizer, AutoModelForTokenClassification

			tokenizer = AutoTokenizer.from_pretrained("wietsedv/bert-base-multilingual-cased-finetuned-conll2002-ner")
			
			model = AutoModelForTokenClassification.from_pretrained("wietsedv/bert-base-multilingual-cased-finetuned-conll2002-ner")
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Create one on GitHub Create a file named wietsedv/bert-base-multilingual-cased-finetuned-conll2002-ner/README.md under model_cards.
List of model files
File name Last modified File size
config.json Fri, 01 May 2020 12:43:05 GMT 1.6KB
modelcard.json Fri, 01 May 2020 12:43:06 GMT 415.0B
pytorch_model.bin Fri, 01 May 2020 12:43:34 GMT 678.5MB
special_tokens_map.json Fri, 01 May 2020 12:43:04 GMT 112.0B
tokenizer_config.json Fri, 01 May 2020 12:43:03 GMT 40.0B
vocab.txt Fri, 01 May 2020 12:43:14 GMT 972.2KB
Done