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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 solution classifies tweets mentioning airline travel into positive, neutral and negative sentiments. It uses text analysis, natural language processing, machine learning techniques to predict sentiment classes for tweets. It automates the manual effort to analyze airline travel related tweets...

Model Package - Fulfilled on Amazon SageMaker


AtomicTasks distributes labeling tasks among a labeling workforce that spans multiple geographies. This leads to: lower costs fast turn-around high quality For any questions, please email: support@atomictasks.com


Starting from $0.10/hr or from $899.00/yr (1% savings) for software + AWS usage fees

This is a repackaged open source software product with optional support from Meetrix.io. Mixtral AI 8x7b Multi Model LLM Bundle Includes: dolphin-2.7-mixtral-8x7b mixtral-8x7b-v0.1 mixtral-8x7b-instruct-v0.1 Target Audience: Developer Community Key Features: - Innovative sparse...

Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)

Free Trial


This is Japanese specialized version of Solar Mini Chat. Solar Mini Chat ja is a compact yet powerful advanced large English/Korean/Japanese language model specialized in Japanese. It is specifically fine-tuned for multi-turn chat purposes, demonstrating enhanced performance across a wide range of...

Model Package - Fulfilled on Amazon SageMaker

Free Trial


This model is engineered for radiology texts and reports, adeptly identifying entities such as imaging tests, imaging techniques, imaging findings, and more. It also automatically detects the assertion status of the findings: Confirmed, Suspected, Negative, and can find relations between diagnosis,...

Model Package - Fulfilled on Amazon SageMaker


A versatile solution to generate a crisp and choherent summary of a document. It uses a large language model to analyze the text and apply natural language generation to generate the summary. The user can pass on arguments to manage the length and content of the summary. This allows this solution...

Model Package - Fulfilled on Amazon SageMaker


This is a Text Summarization model built upon a Transformer model from [Hugging Face](https://huggingface.co/sshleifer/distilbart-cnn-12-6). The deployed model can be used for running inference on any English input text.

Model Package - Fulfilled on Amazon SageMaker