We're excited to announce that Toloka has released the beta version of our new ML Platform, designed to deliver custom ML models in just a few clicks.
No need for ML infrastructure — choose a pre-trained model that matches your task, adapt it to fit your data, and access it via API.
Auto-training fine-tunes the model for you. All you need is data.
Covers almost every data type — text, image, and video (expanded support coming soon).
Built-in data labeling. Do it yourself in our handy tool or send it to the Toloka crowd.
Easy deployment and model hosting with low-latency inference.
Experiment metadata stored on the platform.
Completely free for early adopters (up to 3 models).
ML model use cases
Here are some examples of tasks that our ML models can handle. Feel free to reach out to firstname.lastname@example.org with your project needs. We can point you to the right model or provide a customized solution.
Analyze and moderate user reviews
Classify products by category
Generate product descriptions
Check product similarity for search and recommendation systems
Classify support requests
Analyze chatbot input
Generate responses to support requests
Answer questions in knowledge base or community
Summarize chats with customers
Detect toxic content, spam, watermarks
Generate image captions
Generate illustrations for any online content
Summarize brand mentions
Moderate ad content (text & image)
Generate ad text or headlines
Generate images for ads
Object detection in images
Try out the Toloka ML platform
Just jump right in to explore the platform capabilities and try out some of the pre-trained models.
To get started, you'll go through these basic steps:
For fine-tuning, upload your training data in CSV format. Use our visual data labeling tool to add labels or check existing labels in your dataset after uploading.
Run auto training to tune the model using the data you uploaded.
Find your model in the registry, run it, and check the quality of responses. You can apply the trained model to a dataset offline or deploy the model as a service on Toloka and access it via API for inference in your application.
For a visual guide, follow the steps and videos in How it works on the platform.
If you need help, click the Get expert help button and submit your questions — we'll help you choose the best model for your needs and adapt it to your task.