0.4.0

What's Changed

• Update dependencies and add text generation by @aychang95 in #9
• fix python version by @aychang95 in #10

Added text generation

Full Changelog: v0.3.0...0.4.0

0.3.0 Release

What's Changed

• Format black lock dependencies and fix multiproc pool error by @aychang95 in #6
• Release/v0.3.0 by @aychang95 in #7

Major dependency updates.

Official support python3.7.10-3.11.

Added sentence-transformers as dependency

Full Changelog: 0.2.0...v0.3.0

v0.2.0 Release Updates

Haven't released in a while.

Update and organize dependencies within extras. FastNN main dependencies are transformers, pytorch, and triton client.

Update documentation and replace mkautodocs(archive-mode) with mkdocstrings.

Update triton version and image versions.

Added github publish workflow.

Initial 0.1.0 Release of FastNN

A small release for a fun little project with more to come.

For this initial release you can refer to the README and at https://andrewchang.dev/fastnn

But here are some of the features this includes:

• Data Processing
  • Intuitive data processing modules for encoding human-readible data into tensors compatible with deep learning libraries
• Model Exporting
  • FastNN torch modules and tools for exporting models via. TorchScript tracing and scripting to a production environment
• Model Zoo
  • Various exported models hosted in this repo via. git-lfs and AWS S3. Includes models from the HuggingFace's Transformers and
    TorchVision
• Model Deployment
  • Deploy models using Triton Inference Server on CPU/GPU-compatible server(s) with helm or docker
• FastNN Client
  • Client wrapper for Triton Inference Server's client module for programmatic requests with python