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Varun Shenoy authored Sep 13, 2023
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Expand Up @@ -7,7 +7,7 @@ description: "The simplest way to serve AI/ML models in production"

* **Write once, run anywhere:** Package and test model code, weights, and dependencies with a model server that behaves the same in development and production.
* **Fast developer loop:** Implement your model with fast feedback from a live reload server, and skip Docker and Kubernetes configuration with a batteries-included model serving environment.
* **Support for all Python frameworks**: From `transformers` and `diffusors` to `PyTorch` and `Tensorflow` to `XGBoost` and `sklearn`, Truss supports models created with any framework, even entirely custom models.
* **Support for all Python frameworks**: From `transformers` and `diffusers` to `PyTorch` and `Tensorflow` to `XGBoost` and `sklearn`, Truss supports models created with any framework, even entirely custom models.

See Trusses for popular models including:

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