๐ Deploy your ML model seamlessly with modelbit.deploy() from your Jupyter Notebook. Features: - ๐ REST and Snowflake inference endpoints are automatically generated. - ๐ Version control and CI/CD - ๐ Logging and containerization - ๐ฆ Pipelines and feature stores included Experience a hassle-free deployment process with modelbit.deploy() and get access to built-in features for easy tracking and management.
Run modelbit.deploy() from your Jupyter Notebook to deploy your ML model to production. Automatically get REST and Snowflake inference endpoints. Version control, CI/CD, logging, containerization, pipelines and feature stores come built-in.
Instantly see ChatGPT's answer to a StackOverflow question
Developer Tools
๐ Introducing the ChatGPT Browser Extension - the ultimate solution for StackOverflow queries! ๐Features: - ๐ Get ChatGPT's response instantly - ๐ฅ View the community answers side by side - ๐ซ No more unresolved queries - ๐ฅ Highlighting the key features for easy reference Say goodbye to unanswered queries and hello to precision and excellence with ChatGPT Browser Extension! Get quick access to ChatGPT's responses and compare them with community answers, helping you to make the most informed decisions. Download now to ease your StackOverflow queries!
Web-based content creation with GPU-powered models.
Developer Tools
๐Introducing Stablematic โ the ultimate web-based tool for running Stable Diffusion and other machine learning models! With Stablematic, you can generate content using AI models without the need for complex setup or infrastructure management. Here are some of its key features:
๐ Quick and Easy Setup: One-click setup simplifies running Stable Diffusion and other machine learning models.
๐จ Fast Performance: The tool utilizes powerful GPUs for fast and efficient performance.
๐ธ Transparent Pricing: Stablematic offers pricing based on runtime, providing clear visibility of costs.
๐ฎ Dedicated GPU Playground Instances: Experience reliable performance and no coldstart issues with dedicated instances.
๐ฅ Access to Pre-installed Models: Users have access to pre-installed models for generating content.
๐ค Merge and Train Custom Models: Merge and train your own custom models and embeddings.
๐ฌ Dedicated Feature Support: Get 1-on-1 support for any feature-related inquiries.
๐ API Access: Integrate Stablematic's functionality into your own applications or workflows.
๐ Future Access Bonuses: Benefit from future access bonuses offered by Spellbook Labs.
Stablematic is perfect for content creators, developers, and researchers who are looking for fast and efficient performance, transparency in pricing, and easy setup with personalized support. Get your hands on Stablematic today and experience the seamless AI model experience!
Language model that uses auto-regressive techniques to generate text.
Developer Tools
Introducing StableBeluga2: an advanced and open-source AI language model developed by Stability AI. ๐
๐ฌ Fine-tuned with Llama2 70B dataset: Our model has been fine-tuned using an extensive dataset, ensuring versatility and high-quality text production.
๐ User-friendly HuggingFace Transformers library: StableBeluga2 is implemented using the efficient and easy-to-use HuggingFace Transformers library.
โ๏ธ Auto-regressive techniques: Leveraging the power of auto-regressive techniques, our model excels in generating text.
Use Cases:
- Natural Language Processing (NLP) research
- Text generation and completion tasks
- Language modeling experiments and analysis
StableBeluga2 is a powerful AI language model that promotes open-source accessibility for NLP research and experimentation. With its advanced text generation capabilities, it is a reliable tool for all your language processing needs. ๐ก