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Forturne/
Finbert_PB

Name: Finbert_PB
Rating: 2.5 (6 reviews)

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You can use this model with Transformers pipeline for sentiment analysis.

python

from transformers import BertTokenizer, BertForSequenceClassification
from transformers import pipeline

finbert = BertForSequenceClassification.from_pretrained('Forturne/Finbert_PB',num_labels=3)
tokenizer = BertTokenizer.from_pretrained('Forturne/Finbert_PB')

nlp = pipeline("sentiment-analysis", model=finbert, tokenizer=tokenizer)

sentences = ["there is a shortage of capital, and we need extra financing",  
             "growth is strong and we have plenty of liquidity", 
             "there are doubts about our finances", 
             "profits are flat"]
results = nlp(sentences)
print(results)  #LABEL_0: neutral; LABEL_1: positive; LABEL_2: negative