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jina-embeddings-v2-base-de is an open-source bilingual German-English embedding model supporting 8192 sequence length. This state-of-the-art AI embedding model enables many applications, such as document clustering, classification, content personalization, vector search, or retrieval augmented...
Model Package - Fulfilled on Amazon SageMaker
This model provides object detection on images using a Mask R-CNN (ResNetXt 101 + FPN) architecture. This network provides state of the art accuracy the COCO2017 validation (Box AP: 43.0) and at the same time it provides fast inference times. Supports both CPU and GPU and it features a simple...
Model Package - Fulfilled on Amazon SageMaker
This is a Text Generation model built upon a Transformer model from [Hugging Face](https://huggingface.co/distilgpt2). It takes a text string as input and predicts next words in the sequence.
Model Package - Fulfilled on Amazon SageMaker
Providing the foundation of lifecycle credit risk strategy, this model combines strategies to enable automated underwriting differentiating low (0%) to high (40%) risk. Using customer demographic data, credit history and payment behavior, lifecycle scorecard insights are produced. The Collection...
Model Package - Fulfilled on Amazon SageMaker
This is a Sentence Pair Classification model built upon a Text Embedding model from [Hugging Face](https://huggingface.co/distilroberta-base). 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 post-pandemic Propensity Model determines the probability that a US adult watches Cable TV Most. Lift over Random 1.12. 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 US Media...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_wide_resnet/). It takes an image as input and classifies the image to one of the 1000 classes. The model available for deployment is pre-trained on ImageNet (ILSVRC-2012-CLS) which comprises images of...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult Gambles on Sports Regularly. Lift over Random 2.96. 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 US...
Model Package - Fulfilled on Amazon SageMaker
Text-guided Image generation helps in creating high-quality ethical images from scratch from a text description. Text-to-image uses AI to understand your words and convert them to a unique image each time. Deep generative neural networks concepts like image synthesis and latent diffusion models...
Model Package - Fulfilled on Amazon SageMaker
Video Embeddings using Singular Value Decomposition (SVD) can be used for semantic search, dimentioanlity reduction, and anomaly detection. Give a batch of videos singular values and vectors are computed using these algorithms.
Algorithm - Fulfilled on Amazon SageMaker
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