title: AutoTrain: No-code training for state-of-the-art models
summary: With the advancements in open-source models, training (or finetuning) models
  on custom datasets has become a crucial part of developing solutions which are
  tailored to specific industrial or open-source applications. Yet, there is no
  single tool which simplifies the process of training across different types of
  modalities or tasks. We introduce AutoTrain (aka AutoTrain Advanced) -- an
  open-source, no code tool/library which can be used to train (or finetune)
  models for different kinds of tasks such as: large language model (LLM)
  finetuning, text classification/regression, token classification,
  sequence-to-sequence task, finetuning of sentence transformers, visual language
  model (VLM) finetuning, image classification/regression and even classification
  and regression tasks on tabular data. AutoTrain Advanced is an open-source
  library providing best practices for training models on custom datasets. The
  library is available at https://github.com/huggingface/autotrain-advanced.
  AutoTrain can be used in fully local mode or on cloud machines and works with
  tens of thousands of models shared on Hugging Face Hub and their variations.
paper_authors._id: 671737e60a87ad788cd4ee9c
paper_authors.name: Abhishek Thakur
paper_authors.status: extracted_confirmed
paper_authors.statusLastChangedAt: 2024-10-22T07:44:34.057Z
paper_authors._id: 5fa19f4ba13e063b8b2b5e11
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/5fa19f4ba13e063b8b2b5e11/nGVHdTYX2udnt-K8mqY27.jpeg
paper_authors.fullname: Abhishek Thakur
paper_authors.type: user
paper_authors.user: abhishek
paper_title: AutoTrain: No-code training for state-of-the-art models
paper_summary: With the advancements in open-source models, training (or finetuning) models
  on custom datasets has become a crucial part of developing solutions which are
  tailored to specific industrial or open-source applications. Yet, there is no
  single tool which simplifies the process of training across different types of
  modalities or tasks. We introduce AutoTrain (aka AutoTrain Advanced) -- an
  open-source, no code tool/library which can be used to train (or finetune)
  models for different kinds of tasks such as: large language model (LLM)
  finetuning, text classification/regression, token classification,
  sequence-to-sequence task, finetuning of sentence transformers, visual language
  model (VLM) finetuning, image classification/regression and even classification
  and regression tasks on tabular data. AutoTrain Advanced is an open-source
  library providing best practices for training models on custom datasets. The
  library is available at https://github.com/huggingface/autotrain-advanced.
  AutoTrain can be used in fully local mode or on cloud machines and works with
  tens of thousands of models shared on Hugging Face Hub and their variations.
paper_ai_summary: AutoTrain, an open-source tool, streamlines training and fine-tuning of various machine learning models across multiple tasks and modalities using best practices.
paper_ai_keywords: LLM finetuning text classification token classification sequence-to-sequence task sentence transformers VLM finetuning image classification tabular data classification regression