This is a Text Classification model built upon a Text Embedding model from [TensorFlow Hub](https://tfhub.dev/google/experts/bert/pubmed/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
Text n-gram analyser finds meaningful and frequent n-grams in the provided text. An n-gram is a contiguous sequence of n terms from a given sample of text. Currently, this module provides bigrams, trigrams and four-grams with their corresponding number of frequent occurrences in the text. These...
Model Package - Fulfilled on Amazon SageMaker
A full-fledged marketing automation platform that helps e-commerce unify, and segment their user data to create a personalized ads experience. Track and stay connected with your customers across the different marketing channels; Facebook, Instagram, Google, Snapchat, and TikTok through the advanced...
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
Jina Reranker v1 Base model is a neural text reranking model, designed to enhance the relevance of search results. It complements text embedding models and refines search results by prioritizing documents relevant to a query. This state-of-the-art reranker model enables a variety of applications...
Model Package - Fulfilled on Amazon SageMaker
This solution identifies the various aspects from online product reviews for cooling fans. The following 9 aspects are identified: price, cooling, size and dimensions, build quality, installation, sound, airflow, looks and, performance. This enables companies to easily identify which aspects are...
Model Package - 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
This solution identifies the various aspects from online product reviews for speakers. The following 4 aspects are identified: price, connectivity, aesthetics and, sound quality. This enables companies to easily identify which aspects are being reviewed. The information can be used to assess...
Model Package - Fulfilled on Amazon SageMaker
The LLM Shield is a cutting-edge security solution designed to protect your language model from malicious prompts and attacks. Acting as a robust LLM firewall, it utilizes sophisticated algorithms to predict whether a prompt is a jailbreak attempt, safe, or an injection attack. This proactive...
Model Package - Fulfilled on Amazon SageMaker
This is a Named Entity Recognition model built upon a Transformer model from [Hugging Face](https://huggingface.co/elastic/distilbert-base-cased-finetuned-conll03-english). It takes a text string as input and predicts named entities in the input text. The deployed model can be used for running...
Model Package - Fulfilled on Amazon SageMaker
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