Question: Is there a tool that allows me to finetune models on multiple class types for various use cases?

If you want a service to fine-tune models on multiple classes for different tasks, TuneMyAI is a top contender. It's got fast finetuning and deployment of Stable Diffusion models, accelerated by NVIDIA A100 GPUs. It's got features like Hugging Face integration, support for multiple class types, and full control over training parameters, so TuneMyAI is a good choice for developers who want to get their ML model deployment workflow up and running quickly and easily.

Another strong contender is Predibase, which lets you fine-tune large language models (LLMs) for tasks like classification and information extraction. The service supports a variety of models and has a relatively low-cost serving infrastructure, free serverless inference, and enterprise-level security. Predibase's pay-as-you-go pricing and dedicated deployments mean it's a good choice for a variety of use cases.

If you want to adapt open-source language models to your own data, Forefront offers a service that can fine-tune models in minutes without requiring you to set up your own infrastructure. It's got serverless endpoints for easy integration, strong privacy and security, and flexible deployment options in secure cloud environments. Forefront charges by the model and usage, so it's good for research, startups and businesses.

Also worth a look is Prem, which offers a development environment for personalized LLMs, letting you fine-tune models for your company's needs. It's got a strong focus on data sovereignty and independence from third-party providers, so it's a good option for companies that need to keep data in-house. Prem also offers a library of open-source Small Language Models (SLMs) for fine-tuning and custom use cases.