Sign in
Categories
Your Saved List Become a Channel Partner Sell in AWS Marketplace Amazon Web Services Home Help

Natural Language Processing (606 results) showing 271 - 280



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 [TensorFlow Hub](https://tfhub.dev/google/experts/bert/pubmed/1). 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...

Model Package - Fulfilled on Amazon SageMaker


This is a Text Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/google/electra_base/1). It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model which is pre-trained on...

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-large-uncased-whole-word-masking). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment...

Model Package - Fulfilled on Amazon SageMaker


Key Services: Deployment and Configuration: Our experts streamline the deployment process of Large Language Models on AWS, customizing configurations to align with your specific business requirements. Whether you're implementing GPT-3, BERT, or other LLMs, Matoffo ensures a seamless integration...

Free Trial


This model is designed for automation of business communication. Technical walk-through video describing how to use the model: https://youtu.be/rDdC0ekIBd4 It can serve as basis for classification, automatic responses and other uses. For example see the demo implementation for CRM in Customer...

Model Package - Fulfilled on Amazon SageMaker


We help simplify the use of the AWS toolset and contact center solutions, so you can tap into the full potential of these world-renowned innovations and begin your Customer Experience Transformation as quickly as possible. The Rapid Start begins by assessing your business needs and readiness,...


Key phrase extractor uses end-to-end text extraction pipeline, text analysis and natural language processing techniques to automate key phrases/words extraction from text documents. This solution is based on unsupervised graph-based, topic-based, statistics-based algorithms for the construction of...

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 [TensorFlow Hub](https://tfhub.dev/tensorflow/bert_en_uncased_L-12_H-768_A-12/2). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment...

Model Package - Fulfilled on Amazon SageMaker