I am trying to implement flair to obtain ner tags for a piece of text (doing this in colab). Encountered this error while trying tagger.predict(text). What should I do to resolve this?
Here's my code:
from flair.data import Sentence
from flair.models import SequenceTagger
text = "Apple is headquartered in Cupertino, California."
tagger = SequenceTagger.load("flair/ner-english")
tagger.predict(text)
Here's what I got:
2023-09-01 09:00:29,790 SequenceTagger predicts: Dictionary with 20 tags: <unk>, O, S-ORG, S-MISC, B-PER, E-PER, S-LOC, B-ORG, E-ORG, I-PER, S-PER, B-MISC, I-MISC, E-MISC, I-ORG, B-LOC, E-LOC, I-LOC, <START>, <STOP>
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-17-02be6f83cf90> in <cell line: 8>()
6
7
----> 8 tagger.predict(text)
9 print(text)
10 print('The following NER tags are found:')
1 frames
/usr/local/lib/python3.10/dist-packages/flair/models/sequence_tagger_model.py in predict(self, sentences, mini_batch_size, return_probabilities_for_all_classes, verbose, label_name, return_loss, embedding_storage_mode, force_token_predictions)
454 sentences = [sentences]
455
--> 456 Sentence.set_context_for_sentences(cast(List[Sentence], sentences))
457
458 # filter empty sentences
/usr/local/lib/python3.10/dist-packages/flair/data.py in set_context_for_sentences(cls, sentences)
1087 previous_sentence = None
1088 for sentence in sentences:
-> 1089 if sentence.is_context_set():
1090 continue
1091 sentence._previous_sentence = previous_sentence
AttributeError: 'str' object has no attribute 'is_context_set'
Turn your text into a Sentence first so the underlying code has access to the necessary functions and modify the sentence object.
from flair.data import Sentence
from flair.models import SequenceTagger
text = "Apple is headquartered in Cupertino, California."
sentence = Sentence(text) # <---
tagger = SequenceTagger.load("flair/ner-english")
tagger.predict(sentence ) # <---
print(sentence)
...