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Natural Language Processing (615 results) showing 211 - 220



Bank loan lead identifier model uses Natural Language Processing to identify potential leads for different types of loan portfolios. This model takes text input like individual tweets, comments or any other text expression to predict a potential lead for education, home or automobile loan.

Model Package - Fulfilled on Amazon SageMaker


This is a Sentence Pair Classification model built upon a Text Embedding model from [Hugging Face](https://huggingface.co/bert-base-multilingual-cased). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the...

Model Package - Fulfilled on Amazon SageMaker


This solution identifies the various aspects from online product reviews for screen guards. The following 7 aspects are identified: transparency, protection, adhesive, surface, fit and, price. This enables companies to easily identify which aspects are being reviewed. This information can be used...

Model Package - Fulfilled on Amazon SageMaker


This is a Sentence Pair Classification model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies...

Model Package - Fulfilled on Amazon SageMaker

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jina-embeddings-v2-base-code is an open-source coding embedding model supporting 8192 sequence length. This state-of-the-art AI embedding model enables many applications, such as code review, static analyses, documentation assistance, code search, or retrieval augmented generation (RAG).

Model Package - Fulfilled on Amazon SageMaker


This is a Text Summarization model built upon a Transformer model from [Hugging Face](https://huggingface.co/google/bigbird-pegasus-large-arxiv). The deployed model can be used for running inference on any English input text.

Model Package - Fulfilled on Amazon SageMaker


This is a Sentence Pair Classification model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies...

Model Package - Fulfilled on Amazon SageMaker


This is a Sentence Pair Classification model built upon a Text Embedding model from [Hugging Face](https://huggingface.co/bert-base-cased). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second sentence...

Model Package - Fulfilled on Amazon SageMaker


Configuration 1: Parly Assist – Smart Bot (Multilingual, Multichannel, Self-Service Chatbot) An Amazon Contact Centre Intelligence Partner Offering – Flagship Customer Ryanair Purpose: Handle High Volume Low Value Conversations to reduce pressure on the Contact Centre. Application: Customer...