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AutoTrain - AI Model Libraries & Training Tool

Overview

Hugging Face AutoTrain is an AutoML tool for training, evaluating, and deploying machine learning models without writing code. It supports tasks across NLP, vision, tabular data, and LLM fine-tuning with integration into the Hugging Face ecosystem.

Key Features

  • Automated training, evaluation, and deployment workflows without writing code
  • Supports text, image, token classification, summarization, QA, translation, tabular tasks, and LLM finetuning
  • Seamless integration into the Hugging Face ecosystem
  • No-code interface to configure and run training jobs
  • Built-in evaluation for trained models and comparisons
  • Handles a variety of data modalities including text, images, and tabular data

Ideal Use Cases

  • Train text and image classification models without coding
  • Fine-tune large language models for specific domains
  • Prototype ML models quickly for research or product validation
  • Evaluate and compare model performance across datasets
  • Deploy trained models within the Hugging Face ecosystem

Getting Started

  • Open the AutoTrain page on Hugging Face
  • Upload or connect your dataset
  • Choose the task type and configure model settings
  • Start the training run
  • Review evaluation metrics and trained model artifacts
  • Deploy or download models through the Hugging Face ecosystem

Pricing

Pricing not disclosed. See https://huggingface.co/autotrain for current plans and pricing details.

Key Information

  • Category: Model Libraries & Training
  • Type: AI Model Libraries & Training Tool
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