AI model creator details for shahrukhx01

question-vs-statement-classifier

shahrukhx01

No description available.

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11.5K

Huggingface

bert-mini-finetune-question-detection

shahrukhx01

The bert-mini-finetune-question-detection model is a text classification model that has been fine-tuned for the task of question detection. It uses the BERT (Bidirectional Encoder Representations from Transformers) architecture to convert input text into contextualized embeddings, and then uses these embeddings to classify whether a given text is a question or not. It is designed for solving problems related to question detection and can be used to identify and differentiate between questions and non-questions in a given text.

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7.5K

Huggingface

roberta-base-boolq

shahrukhx01

No description available.

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2.1K

Huggingface

paraphrase-mpnet-base-v2-fuzzy-matcher

shahrukhx01

A Siamese BERT architecture trained at character levels tokens for embedding based Fuzzy matching. Usage (Sentence-Transformers) Using this model becomes easy when you have sentence-transformers installed: Then you can use the model like this: Usage (HuggingFace Transformers) ACKNOWLEDGEMENT A big thank you to Sentence Transformers as their implementation really expedited the implementation of Fuzzformer. Citation To cite FuzzTransformer in your work, please use the following bibtex reference: @misc{shahrukhkhan2021fuzzTransformer, author = {Shahrukh Khan}, title = {FuzzTransformer: A character level embedding based Siamese transformer for fuzzy string matching.}, year = 2021, publisher = {Coming soon}, doi = {Coming soon}, url = {Coming soon} }

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396

Huggingface

schema-aware-denoising-bart-large-cnn-text2sql

shahrukhx01

No description available.

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260

Huggingface

bert-multitask-query-classifiers