# Importing models Next to creating your own models, it is very common to train AI or ML models using some training platform or tool which are subsequently imported to the Nx AI cloud. In this section of our docs we provide information on how to export models using various model training tools, and we give tips on how to make sure your model can be uploaded to the Nx AI cloud and deployed to the Nx AI manager. {% hint style="success" %} Note that in many cases the tools we discuss here allow you to export your trained model to ONNX. Once you have the ONNX graph, please see if its fits our requirements before uploading it to the Nx AI cloud. {% endhint %} Below we discuss training models using: * [Edge Impulse](https://nx.docs.scailable.net/nx-ai-manager-v4.x/for-data-scientists/www.edgeimpulse.com). Note that for EdgeImpulse exports it is not necessary to convert to ONNX. * [Tensorflow / tensorflow lite](/nx-ai-manager-v4.x/for-data-scientists/importing-models/from-tensorflow-tflite.md). * [PyTorch](/nx-ai-manager-v4.x/for-data-scientists/importing-models/from-pytorch.md). * [Teachable machine](/nx-ai-manager-v4.x/for-data-scientists/importing-models/from-teachable-machine.md). * Other platforms that allows you to export to ONNX. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://nx.docs.scailable.net/nx-ai-manager-v4.x/for-data-scientists/importing-models.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.