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tweet-topic-21-single

Text Classification
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PyTorch
TensorFlow
roberta
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antypasd commited on
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Update README.md

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README.md CHANGED
@@ -35,7 +35,6 @@ text = "Tesla stock is on the rise!"
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  encoded_input = tokenizer(text, return_tensors='pt')
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  output = model(**encoded_input)
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- output = model(**encoded_input)
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  scores = output[0][0].detach().numpy()
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  scores = softmax(scores)
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@@ -45,7 +44,6 @@ scores = softmax(scores)
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  #text = "Tesla stock is on the rise!"
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  #encoded_input = tokenizer(text, return_tensors='tf')
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  #output = model(**encoded_input)
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- #output = model(**encoded_input)
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  #scores = output[0][0]
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  #scores = softmax(scores)
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  encoded_input = tokenizer(text, return_tensors='pt')
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  output = model(**encoded_input)
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  scores = output[0][0].detach().numpy()
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  scores = softmax(scores)
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  #text = "Tesla stock is on the rise!"
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  #encoded_input = tokenizer(text, return_tensors='tf')
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  #output = model(**encoded_input)
 
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  #scores = output[0][0]
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  #scores = softmax(scores)
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