pritamdeb68
/

SentimentBERT

Text Classification

sentiment-analysis

fine-tuned-model

Inference Endpoints

Model card Files Files and versions Community

Debopam Dey commited on Jan 1

Commit

9eadbbc

·

verified ·

1 Parent(s): 28658a6

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -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):