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license: apache-2.0 |
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<h2>Re-Punctuate:</h2> |
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Re-Punctuate is a T5 model that attempts to correct Capitalization and Punctuations in the sentences. |
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<h3>DataSet:</h3> |
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DialogSum dataset (115056 Records) was used to fine-tune the model for Punctuation and Capitalization correction. |
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<h3>Usage:</h3> |
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<pre> |
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from transformers import T5Tokenizer, TFT5ForConditionalGeneration |
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tokenizer = T5Tokenizer.from_pretrained('SJ-Ray/Re-Punctuate') |
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model = TFT5ForConditionalGeneration.from_pretrained('SJ-Ray/Re-Punctuate') |
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input_text = 'the story of this brave brilliant athlete whose very being was questioned so publicly is one that still captures the imagination' |
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inputs = tokenizer.encode("punctuate: " + input_text, return_tensors="tf") |
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result = model.generate(inputs) |
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decoded_output = tokenizer.decode(result[0], skip_special_tokens=True) |
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print(decoded_output) |
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</pre> |
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<h4> Example: </h4> |
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<b>Input:</b> the story of this brave brilliant athlete whose very being was questioned so publicly is one that still captures the imagination <br> |
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<b>Output:</b> The story of this brave, brilliant athlete, whose very being was questioned so publicly, is one that still captures the imagination. |
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<h4> Connect on: <a href="https://www.linkedin.com/in/suraj-kumar-710382a7" target="_blank">LinkedIn : Suraj Kumar</a></h4> |
