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
Introducing SDXL, a cutting-edge product intricately tied to the world of Wenshengtu. Our team's relentless efforts have brought forth a remarkable innovation, setting a new benchmark in speed among the spectrum of existing SD products. SDXL is not just a product; it's a groundbreaking advancement...
Model Package - Fulfilled on Amazon SageMaker
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Mini-instruct is a powerful, multilingual AI model with 40B parameters trained on high-quality data from a variety of sources. It is built using Falcon LLM technology from the Technology Innovation Institute. The amount of data in Mini corpus is 1 trillion tokens. We mainly used data from the...
Model Package - Fulfilled on Amazon SageMaker
This algorithm produces similarity scores for a document or a line of text compared to documents in a corpus. The algorithm includes a tf-idf text featurizer to create n-gram features describing the text. It then uses the library scipy.spatial.distance to compute the cosine distance between the new...
Algorithm - Fulfilled on Amazon SageMaker
Given an incomplete sentence, this model predicts sentences that are most likely to occur in the context. For example, given input "I love it", it will generate samples like "I love it and enjoy one of their series, Schafer or Clive ."
Model Package - Fulfilled on Amazon SageMaker
The state-of-the-art transformer model for machine translation from English to German, trained on WMT 2014 English-German dataset.
Model Package - Fulfilled on Amazon SageMaker
This algorithm uses the scikit learn framework to predict hospital readmissions from EMR data, DRGs and billing data. The model predicts the probability that a patient will return to the hospital within a certain time period(30 days) or not. The predicted output is the % chance that the patient...
Algorithm - Fulfilled on Amazon SageMaker
This model provides intermediate image feature extraction functionality for image classification. It can also provide top-5 category predictions out of 1000 classes on ImageNet. This network is one of the best models that are both highly efficient and accurate. As a result, it also provides...
Model Package - Fulfilled on Amazon SageMaker
Given an input image, this model will generate a mask that describes the category for each pixel. For training new models on your own datasets, the algorithm is also available as built-in SageMaker algorithm: https://docs.aws.amazon.com/sagemaker/latest/dg/semantic-segmentation.html
Model Package - Fulfilled on Amazon SageMaker
This model provides intermediate image feature extraction functionality for image classification. It can also provide top-5 category predictions out of 1000 classes on ImageNet. This network is one of the fastest models that also provide high accuracy. It also provides high-quality features as...
Model Package - Fulfilled on Amazon SageMaker
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