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nikesh66
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Sentiment-Detection-using-BERT

Text Classification
Transformers
PyTorch
English
roberta
text-embeddings-inference
Model card Files
xet
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="nikesh66/Sentiment-Detection-using-BERT")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("nikesh66/Sentiment-Detection-using-BERT")
model = AutoModelForSequenceClassification.from_pretrained("nikesh66/Sentiment-Detection-using-BERT")
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Sentiment Dection Model using Bert

Sentiment Analysis Model identifies the sentiment or emotional tone expressed in a piece of text

Sentiment Analysis Model This model has total 7 labels which are as follows:

  • "anger"
  • "disgust"
  • "fear"
  • "joy"
  • "neutral"
  • "sadness"
  • "surprise"
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