We're excited to announce that Krypton ML now supports direct HuggingFace model inference in version 0.1.8! This new feature allows you to serve HuggingFace models directly through Krypton ML's simple configuration system, without writing any additional code.

What's New​

You can now serve any HuggingFace model by simply adding it to your config.yaml:

krypton:
  models:
    - name: gpt2-text-generation
      type: huggingface
      endpoint: /generate
      hf_model_name: gpt2
      hf_task: text-generation
      description: "GPT-2 text generation model"

That's it! Krypton ML handles all the model loading and inference setup for you.

Features​

• Support for all HuggingFace model types and tasks
• GPU acceleration with simple device configuration
• Customizable model and generation parameters
• Automatic API endpoint creation
• Built-in error handling and validation

Getting Started​

To use the new HuggingFace support, upgrade to version 0.1.8:

pip install krypton-ml==0.1.8

Here's a complete example configuration showing available options:

krypton:
  models:
    - name: text-generation
      type: huggingface
      endpoint: /generate
      hf_model_name: gpt2
      hf_task: text-generation
      hf_model_kwargs:
        torch_dtype: float16
      hf_generation_kwargs:
        max_length: 100
        do_sample: true
      description: "GPT-2 text generation model"

What's Next​

This is just the beginning of our HuggingFace integration. We're working on adding support for:

• Fine-tuned model serving
• Model quantization options
• Advanced caching strategies
• More optimization features

Stay tuned for more updates!

Feedback​

We'd love to hear your feedback on the new HuggingFace support. Try it out and let us know what you think on our GitHub discussions.

Happy model serving! 🚀

Today, I'm excited to share with you a project that's incredibly close to my heart: Krypton ML. While it's still in its early stages, I believe it has the potential to make a significant impact in the world of machine learning deployment.

The Genesis of Krypton ML​

As a developer and machine learning enthusiast, I've often found myself frustrated with the complexities of deploying ML models. The gap between creating a model and making it accessible for real-world use seemed unnecessarily wide. That's when the idea for Krypton ML was born.

Krypton ML aims to simplify the process of deploying machine learning models, making it easier for data scientists and developers to bring their creations to life. It's designed to be intuitive, flexible, and powerful – a tool that I wish I had when I first started working with ML models.

Baby Steps, Big Dreams​

I want to be clear: Krypton ML is taking its first baby steps. What you see today is just the beginning of what I envision for this project. There's still so much to do, so many features to add, and undoubtedly, many challenges to overcome.

But isn't that the beauty of creation? Starting small, nurturing an idea, and watching it grow?

Why Krypton ML Matters to Me​

This project is more than just lines of code or a tool to solve a problem. It represents my passion for democratizing machine learning, making it accessible to more people, and hopefully, in some small way, contributing to the advancement of AI technology.

Every time I work on Krypton ML, I'm reminded of why I fell in love with programming and machine learning in the first place. It's the thrill of creation, the joy of solving problems, and the excitement of imagining how this tool might be used in ways I haven't even thought of yet.

Looking Ahead​

As Krypton ML takes these first tentative steps, I'm filled with a mix of excitement and anticipation. There's still so much to learn, so much to improve, and so much to discover. I'm looking forward to the journey ahead, to the challenges we'll face, and to the moments of triumph when we overcome them.

I invite you to join me on this journey. Whether you're a seasoned ML practitioner or just starting out, I believe Krypton ML has something to offer you. And in return, your feedback, your ideas, and your support will be invaluable in shaping the future of this project.

Get Involved​

If you're interested in Krypton ML, I encourage you to check out our GitHub repository, try out the getting started guide, and let me know what you think. Your input at this early stage can help shape the direction of Krypton ML and ensure it becomes a truly useful tool for the ML community.

Thank you for taking the time to read about this project that means so much to me. Here's to the exciting journey ahead with Krypton ML!