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Jina Embeddings v2 Small model is optimized for speed of inference and memory efficiency - For higher accuracy, use the Base model. jina-embeddings-v2-small-en is an open-source English embedding model supporting 8192 sequence length. This state-of-the-art AI embedding model enables many...
Model Package - Fulfilled on Amazon SageMaker
The model identifies construction workers by the protective equipment (such as hardhats or high visibility vests) worn. If the model identifies a person without protective equipment, it identifies the action as unauthorized access to the construction site.
Model Package - Fulfilled on Amazon SageMaker
This solution provides an AutoML piepline which takes in an input csv that contains the labelled text data for any usecase along with a JSON file that contains the desired preprocessing steps that need to be used on the text data. The preprocessed data is then vectorized using different embeddings....
Model Package - Fulfilled on Amazon SageMaker
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The Clinical De-Identification model is designed to recognize and anonymize PHI in Arabic-language clinical notes. It employs state-of-the-art natural language processing techniques to detect sensitive information such as patient names, addresses, medical record numbers, and other identifiers. Once...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult Uses Video Conferencing for Work. Lift over Random 1.47. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/mobilenet_v1_100_224/classification/4). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises...
Model Package - Fulfilled on Amazon SageMaker
Automotive claims prediction is a component of HyperGraf, which predicts occurrence of a claim and the claim amount for a policyholder. The underlying ML algorithms are based on variations of Regression and XG Boost using important policyholder, vehicle and GeoZone characteristics. Trained on real...
Model Package - Fulfilled on Amazon SageMaker
Operational efficiency insights are locked within process execution data stored in the form of workflow/event logs. Improvement of operational efficiency requires continuous monitoring of specific operational KPIs. The current solution mines operations log data to describe a process in terms of...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/mobilenet_v1_050_160/classification/4). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises...
Model Package - Fulfilled on Amazon SageMaker
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer is a Snow Skier. Based on a set of basic demographics, the model identifies individuals likely to Snow Ski as a leisure time activity. The model was trained with data from Prosper's large Media...
Model Package - Fulfilled on Amazon SageMaker
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