🔮                       By joining, you’ll get free usage in exchange for your insights.                      def  pre_proc

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2021-05-20 18:00:03

🔮 By joining, you’ll get free usage in exchange for your insights.

def pre_process(api_input): url = api_input['wikipedia_url' ] content = get_content(url) return {'model_input' : content}

def post_process(out): predictions = out['predictions' ] store_predictions(predictions) return {'display' : enrich(predictions)}

Deploy your existing TensorFlow, PyTorch or scikit-learn models with BaseTen's client API or choose from BaseTen’s library of pretrained models to get you started.

There's no need to get bogged down in model deployment, scaling APIs, and building user interfaces. BaseTen allows you to start embedding machine learning into real, shareable apps in minutes; be it a simple prototype to showcase the power of your model or a model-driven workflow for content moderation.

BaseTen provides pretrained models for common use cases. Create APIs for classifying unseen data or analyzing sentiment without re-inventing the wheel. Integrate your existing data sources, write pre and post-processing code within our serverless infastructure, and even chain the outputs of several deployed models.

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