Forturne
/

Finbert_PB

Text Classification

Model card Files Files and versions

Forturne commited on Mar 8, 2023

Commit

9c0f7fd

·

1 Parent(s): 65527bc

Update README.md

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -3,8 +3,8 @@ You can use this model with Transformers pipeline for sentiment analysis.
 from transformers import BertTokenizer, BertForSequenceClassification
 from transformers import pipeline
-finbert = BertForSequenceClassification.from_pretrained('yiyanghkust/finbert-tone',num_labels=3)
-tokenizer = BertTokenizer.from_pretrained('yiyanghkust/finbert-tone')
 nlp = pipeline("sentiment-analysis", model=finbert, tokenizer=tokenizer)

 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)