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This is a Image Classification model from PyTorch Hub

This is a Extractive Question Answering model from PyTorch Hub

This is a Image Classification model from TensorFlow Hub

It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the task is to identify the objects and their positions in the image. A list of the objects that the model can identify is given at the end of the page. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc

This is a Object Detection Answering model from TensorFlow Hub

This is a Object Detection Answering model from TensorFlow Hub

This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub

This is a Image Classification model from TensorFlow Hub

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 sentence entails the first sentence, and the no-entailment implies it does not. The Text Embedding model which is pre-trained on English and German Wikipedia returns an embedding of the input pair of sentences. The model available for deployment is created by attaching a binary classification layer to the output of the Text Embedding model, and the

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 images of different classes. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.

This is a Image Classification model from TensorFlow Hub

Scale your rendering workloads to tens of thousands of cores in minutes. Utilizing the render farm deployment kit (RFDK) and AWS Thinkbox Deadline for render orchestration, Nimble Studio provides an integrated render farm along with this Deadline Linux Farm Worker AMI that leverages EC2 Spot pricing.

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 images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

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 images of different classes. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.

This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub

The Nitro Enclaves Developer AMI contains the necessary tools and components to build enclave applications. It also contains samples, such as hello-enclave, vsock_sample and kmstool, to demonstrate how to use and develop your own enclave applications.

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-21k which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

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 WikiPedia and BookCorpus returns an embedding of the input text. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub

It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the task is to identify the objects and their positions in the image. A list of the objects that the model can identify is given at the end of the page. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.