ML

Serve NLP ML Models using Accelerated Inference API

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HuggingFace hosts thousands of state-of-the-art NLP models. With only a few lines of code, you can deploy your NLP model and use it by making simple API requests using Accelerated Inference API. The requests will accept specific parameters depending on the task (aka pipeline) for which the model is configured. When making requests to run … Read more

Machine Learning on Unstructured Datasets

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Machine Learning models on GCP have helped many companies to make a breakthrough in their industries.  The secret to takeaway is that ML can automate activities that can save a human team or support them. The new models have also outperformed humans in some domains recently. More than just binary classification tools, the picture classification … Read more

Compute Power for Analytic and ML Workloads

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Google trains its output machine learning models on its large data center network and then deploys smaller trained versions of these models to your phone’s hardware for video predictions for example. You can use pre-trained AI building blocks to exploit Google’s AI work. For example, if you’re a film trailer producer and want to quickly … Read more