If you're looking for pre-trained models to accelerate your machine learning work, Hugging Face is a top choice. It's got a broad ecosystem with more than 400,000 models for different tasks, 150,000 examples and demos, and access to more than 100,000 public datasets. It's free to host models, and it's got a community support system, so it's a good choice for solo developers and companies. Pricing ranges from free to $20/user/month.
Another contender is Replicate, which emphasizes ease of use and ease of deployment. It's got a library of pre-trained models for image generation, text generation, video generation and speech generation, plus the ability to fine-tune models and automatically scale computing resources. Replicate has one-click deployment, custom model deployment and pricing that scales with hardware usage, so it's good for developers who want to build AI into their products without worrying about the underlying infrastructure.
If you're looking for a broader suite of data science and machine learning tools, Kaggle is also worth a look. It's got pre-trained models, cloud-based Kaggle Notebooks for collaborative data science projects, and a large library of open-source data. Kaggle also runs data science competitions to help you improve your skills, so it's good for data scientists and students.
Last, Predibase is a low-cost service for fine-tuning and serving large language models. It supports state-of-the-art techniques like quantization and low-rank adaptation and offers free serverless inference for up to 1 million tokens per day. It's good for developers who want to use LLMs for tasks like classification and code generation.