The pipeline object can do that for you when you set the parameter:

• transformers < 4.7.0: grouped_entities to True.
• transformers >= 4.7.0: aggregation_strategy to simple

from transformers import pipeline

#transformers < 4.7.0
#ner = pipeline("ner", grouped_entities=True)

ner = pipeline("ner", aggregation_strategy='simple')

sequence = "Hugging Face Inc. is a company based in New York City. Its headquarters are in DUMBO, therefore very close to the Manhattan Bridge which is visible from the window."

output = ner(sequence)

print(output)

Output:

[{'entity_group': 'I-ORG', 'score': 0.9970663785934448, 'word': 'Hugging Face Inc'}
, {'entity_group': 'I-LOC', 'score': 0.9993778467178345, 'word': 'New York City'}
, {'entity_group': 'I-LOC', 'score': 0.9571147759755453, 'word': 'DUMBO'}
, {'entity_group': 'I-LOC', 'score': 0.9838141202926636, 'word': 'Manhattan Bridge'}
, {'entity_group': 'I-LOC', 'score': 0.9838141202926636, 'word': 'Manhattan Bridge'}]