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jina-colbert-v1-en is an open-source English ColBERT-style embedding model supporting 8192 sequence length. ColBERT (Contextualized Late Interaction over BERT) leverages the deep language understanding of BERT while introducing a novel interaction mechanism. This mechanism, known as late...
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/electra_small/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/tensorflow/bert_multi_cased_L-12_H-768_A-12/2). 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...
Model Package - Fulfilled on Amazon SageMaker
Augintel's natural language processing (NLP) SaaS products are used by health and social services clinicians to identify actionable information - such as risks, social determinants of health, and protective factors - buried in narrative data such as case notes or patient notes, while also providing...
This is a Sentence Pair Classification model built upon a Text Embedding model from [Hugging Face](https://huggingface.co/bert-base-multilingual-uncased). 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
A high frequency of issues can generate an overwhelming number of application tickets and incorrect delegation to teams to handle them. This leads to a spike in MTTR (mean time taken to resolve) and a dip in FCR (First Call Resolution). The solution mitigates these issues by training a multi-factor...
Algorithm - Fulfilled on Amazon SageMaker
Introducing VNLP, the cutting-edge sentiment analysis product that helps you understand the sentiment and emotions behind Turkish text. Our state-of-the-art natural language processing technology analyzes text data quickly and accurately, enabling you to gain insights into your customers’ opinions,...
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_small/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
The Universal Sentence Encoder encodes text into high-dimensional vectors that can be used for text classification, semantic similarity, clustering and other natural language tasks. The model is trained and optimized for greater-than-word length text, such as sentences, phrases or short...
Model Package - Fulfilled on Amazon SageMaker
The MTTR (Mean Time to Resolution) predictor is an AI/ML based solution which predicts the time taken by a service agent to solve a specific ticket or an incident request. The solution learns the efficiency, experience and workload management metrics for various ticket types solved by service...
Model Package - Fulfilled on Amazon SageMaker
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