Metadata-Version: 2.1
Name: deepmux
Version: 0.2.2
Summary: UNKNOWN
Home-page: https://github.com/Deep-Mux/deepmux-python
Author: DeepMux
Author-email: dev@deepmux.com
License: UNKNOWN
Description: # deepmux-python
        
        **deepmux** is a PaaS solution to effortlessly deploy trained machine learning models on the cloud and generate predictions without setting up any hardware.
        
        At the moment only **pytorch** models are supported.
        
        ## Installation
        
        ```
        pip install deepmux==0.2.2
        ```
        
        ## Quickstart
        
        ### Creating model
        Initialize a model and upload it to deepmux servers
        
        ```python
        from deepmux import create_model
        
        model = create_model(<YOUR PYTORCH MODEL>, <MODEL_NAME>, <SHAPE OF INPUT DATA>, <SHAPE OF OUTPUT DATA>, <TOKEN>)
        ```
        
        ### Getting model by name
        On your production server you can simply get model by it's name.
        ```python
        from deepmux import get_model
        
        model = get_model(<MODEL NAME>, <TOKEN>)
        ```
        
        ### Executing model on your import
        
        After initializing your model with `create_model` or `get_model` you can run the model. All computations will be performed on **deepmux** infrastucture.
        
        ```python
        output = model.run(<YOUR INPUT>)
        ```
        
        ### Complete example on a model from PyTorch Hub
        
        ```python
        import numpy as np
        import torch
        
        from deepmux import create_model
        
        token = "<YOUR_TOKEN>"
        
        pytorch_model = torch.hub.load('pytorch/vision:v0.5.0', 'squeezenet1_0', pretrained=True)
        
        deepmux_model = create_model(
            pytorch_model,
            model_name='my_model',
            input_shape=[1, 3, 227, 227],
            output_shape=[1, 1000],
            token=token)
        
        dummy_input = np.zeros([1, 3, 227, 227], dtype=np.float32)
        
        output = deepmux_model.run(dummy_input)
        ```
        
        ## Getting token
        
        Currently, **deepmux** is in closed testing. You can get your own token by contacting [tna0y](https://t.me/tna0y) or 
        [alexsaplin](https://t.me/alexsaplin).
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown
