Pinferencia

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Pinferencia is an Open Source & Models tool that simplifies model deployment in Python. It provides a GUI and REST API for machine learning inference servers with minimal code.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is pinferencia?

Pinferencia is a Python library designed to be the simplest machine learning inference server ever. It allows users to deploy models with just a few lines of code, providing both a GUI and a REST API out-of-the-box. The tool supports various deep learning frameworks like Hugging Face, PyTorch, and TensorFlow, making it versatile for different model types. Pinferencia emphasizes minimal code and transformation, fast deployment, and robust testing with 100% test coverage. It also offers automatic API documentation with an online try-out feature and compatibility with Kserve API, ensuring easy integration with platforms like Kubeflow, TF Serving, Triton, and TorchServe.

Best used for

Ideal for developers and data scientists who need to quickly deploy machine learning models, create inference servers with minimal code, and integrate with existing ML platforms. Especially valuable for rapid prototyping and serving models with both GUI and REST API capabilities.

Common actions

deploy models

serve machine learning

create inference server

build APIs

face swappingworkflows"AI Agents"low-code/no-codedeepfakegithub copilotautomated workflowopen-sourcecollaboration

Capabilities

Key features

Model deployment library
GUI and REST API
Minimal code needed
100% test coverage
Automatic API documentation
Kserve API support
Supports various ML frameworks

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What machine learning frameworks does Pinferencia support?

Pinferencia is designed to serve any model, including those from popular deep learning frameworks. It explicitly provides examples and support for Hugging Face pipelines, PyTorch models, and TensorFlow models, making it versatile for various AI applications.

Does Pinferencia provide a user interface for deployed models?

Yes, Pinferencia automatically generates a pretty and clean GUI out of the box for your deployed models. This allows for easy interaction and testing of the model's inference capabilities without needing to build a separate frontend.

Is Pinferencia compatible with other model serving tools?

Pinferencia supports the Kserve API, which ensures compatibility with other popular model serving tools and platforms. This includes Kubeflow, TF Serving, Triton, and TorchServe, allowing for seamless integration and flexibility in your MLOps workflow.

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