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SentimentBERT

Text Classification
Transformers
Safetensors
English
bert
sentiment-analysis
fine-tuned-model
NLP
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Debopam Dey commited on
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Update README.md

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