This model is a fine-tuned on
NER-C version of the Spanish BERT cased
(BETO) for
NER downstream task.
B-LOC
B-MISC
B-ORG
B-PER
I-LOC
I-MISC
I-ORG
I-PER
O
1from transformers import pipeline
2
3nlp_ner = pipeline(
4 "ner",
5 model="mrm8488/bert-spanish-cased-finetuned-ner",
6 tokenizer=(
7 'mrm8488/bert-spanish-cased-finetuned-ner',
8 {"use_fast": False}
9))
10
11text = 'Mis amigos están pensando viajar a Londres este verano'
12
13nlp_ner(text)
14
15#Output: [{'entity': 'B-LOC', 'score': 0.9998720288276672, 'word': 'Londres'}]