pritamdeb68
/

SentimentBERT

Text Classification

sentiment-analysis

fine-tuned-model

Model card Files Files and versions

Debopam Dey commited on Jan 1

Commit

9eadbbc

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verified ·

1 Parent(s): 28658a6

Update README.md

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@@ -39,7 +39,7 @@ from transformers import BertTokenizer, BertForSequenceClassification
 # Load the model and tokenizer from the Hugging Face model hub
 mymodel = BertForSequenceClassification.from_pretrained("pritam2014/SentimentBERT")
-mytokenizer = BertTokenizer.from_pretrained("bert-base-uncased",use_auth_token=True)
 ```
 ```
 def preprocess_text(text):

 # Load the model and tokenizer from the Hugging Face model hub
 mymodel = BertForSequenceClassification.from_pretrained("pritam2014/SentimentBERT")
+mytokenizer = BertTokenizer.from_pretrained("pritam2014/SentimentBERT",use_auth_token=True)
 ```
 ```
 def preprocess_text(text):