Changelog

We release features and fixes weekly! See some of the changes we have made.

0.3.1

Date: 25 November 2022

• We made large changes to our infrastructure to be more reliable and faster. This means faster deployment, less downtime and roughly half the inference time!

0.2.4

Date: 23 November 2022

• Add more models to our Prebuilt library
• mt0-xl
• galactica
• flan-xl

0.2.3

Date: 11 November 2022

• Added support for post-processing functions in flows!
• Add Prebuilt models to available deployments
• whisper-medium

0.2.2

28 October 2022

• Fix a bug where the internal flow would be malformed if the model was not ONNX
• Force single model ONNX flow until post-processing is supported

0.2.1

Date: 26 October 2022

• Support for ONNX models with Python 3.7-3.9 (can be used as a single model or as the initial model of a flow). We are working on supporting Python 3.10 and 3.11!

v0.2.0

Date: 23 October 2022

• Model ensembles are here! You can now deploy a sequence of models to an endpoint and have them run in order.
• Change the deploy call signature to accommodate for model ensembles.
• Added explicit model types to be used in place of the previous plain strings.

v0.1.9

Date: 18 October 2022

• Reduce minimum python version to 3.7 (and reduce dependency min versions accordingly). Now compatible with Google Colab!

v0.1.5

Date: 17 October 2022

• Update license
• Handle usage limits on different Cerebrium packages

v0.1.4

Date: 16 October 2022

• Release on the public PyPi!
• Refactor the package name to cerebrium

v0.1.3

Date: 12 October 2022

• Fixed an issue with data input shapes
• Updated our documentation
• Released Model/Flow Versioning
• Improved Error Handling and Messaging on the Neuron client
• Implemented a utility function for easy API testing
• Provided a dry-run option for model deployment, which returns a callable function for testing
• Fixed a deserialization issue with PyTorch models (requires cloudpickle)
• Support for Torchscript models
• Support for XGB JSON models

v0.1.2

Date: 7th October 2022

• Moved architecture to serverless CPU/GPU's
• Support Pytorch, XGBoost and SKLearn models
• Updated monitoring metrics per model version
• Bug fixes and performance improvements

V0.1.1

Date: 26th September 2022

• Released alpha version of Neuron.
• Users are able to deploy models from their notebooks or .py files with just 4 lines of code.
• Created dashboard interface for users to see deployed models, API calls and errors.
• Created this documentation site.