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Paraphrase generator with T5
A paraphrase generator created with transformers that occupies an English set as input and generates a set of paraphrased sentences. This is an NLP task of conditional text generation. The model used here is the T5Forcondition generations from the Huggingface Transformers Library. This model is designed on the Google PAWS record, and the model is stored in the transformer model hub of embracing the facial library under the name VAMSI / T5_PARAPHRE_PAWS.
These instructions receive a copy of the project upwards and on your local device for development and testing purposes.
Run the web app
The first server call takes some time as it downloads the model parameters. The later calls are relatively faster because it stores the model parameters in the Cahce.
pytorch and TF models are available
The repository also includes a minimal reproducible docker shield that allows a server to run with the API endpoints with the API endpoints to perform text paraph.
note : The docker file uses the built-in flask development server so that it is not recommended for production usage. It should be replaced by a production-ready WSGI server.
After you populate the repository, start the local server, it's a two-line script:
And then the API in Localhost is available: 5000
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