Hugingface ner

from transformers import AutoTokenizer, AutoModelForTokenClassification
from transformers import pipeline

tokenizer = AutoTokenizer.from_pretrained("dslim/bert-base-NER")
model = AutoModelForTokenClassification.from_pretrained("dslim/bert-base-NER")

nlp = pipeline("ner", model=model, tokenizer=tokenizer)
example = "My name is Wolfgang and I live in Berlin"

ner_results = nlp(example)
print(ner_results)

Source: huggingface.co

Similar codes

14 votes92 views5 answers
How to create requirements.txt django
Python
2 votes103 views1 answer
Check corently installed epython version
Python
0 vote96 views2 answers
Convert uint8 to double in python
Python
2 votes89 views2 answers
How to store object in file python
Python
1 vote139 views1 answer
-- python
Python
0 vote151 views1 answer
Indexing python first and last
Python
2 votes92 views1 answer
Copy website
Python
0 vote104 views3 answers
From unix timestamp to datetime pandas
Python
0 vote96 views1 answer
Python txt to parquet
Python
2 votes105 views2 answers
Python PyQt5
Python