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

Natural Language Processing (608 results) showing 301 - 310



Autocode Text To Python Code Recommender takes a code related user text query as input and returns 3 optimal code recommendations from Github that will be syntactically and semantically correct. Considering the ever increasing number of programming languages and the frameworks that are built around...

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


Topic Modeling solution clusters words/phrases into abstract topics. This solution helps in understanding document content, category and document similarity. Given a set of training documents, this module trains a model and maps the top five relevant abstract topics which have high content...

Algorithm - Fulfilled on Amazon SageMaker


This is a Extractive Question Answering model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/). It takes as input a pair of question-context strings, and returns a sub-string from the context as a answer to the question. The Text...

Model Package - Fulfilled on Amazon SageMaker


Vehicle loan lead identifier model uses Natural Language Processing to identify potential leads for vehicle loan. This model takes text input like individual tweets, comments or any other text expression to predict a potential lead.

Model Package - Fulfilled on Amazon SageMaker


Today's customer are expecting personalized and contextually-relevant experiences when engaging with companies and organizations. Consilium is able to support customers of all sizes by leveraging the advanced capabilities of Amazon Connect and the power of customer data across a wide variety of...


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

  • Version llm-labs-2024-03-15
  • By Datasaur

Unlock new possibilities in large language models with LLM Labs An advanced solution for Large Language Model Development built to handle even your most complex requirements. Adapts to your requirements, providing a personalized and efficient approach


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