AutoTrain: No-code training for state-of-the-art models
Authors: name: Abhishek Thakur

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.