AutoTrain: No-code training for state-of-the-art models
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.
671737e60a87ad788cd4ee9c
Abhishek Thakur
extracted_confirmed
2024-10-22T07:44:34.057Z
5fa19f4ba13e063b8b2b5e11
https://cdn-avatars.huggingface.co/v1/production/uploads/5fa19f4ba13e063b8b2b5e11/nGVHdTYX2udnt-K8mqY27.jpeg
Abhishek Thakur
user
abhishek
AutoTrain: No-code training for state-of-the-art models
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.
AutoTrain, an open-source tool, streamlines training and fine-tuning of various machine learning models across multiple tasks and modalities using best practices.
LLM finetuning text classification token classification sequence-to-sequence task sentence transformers VLM finetuning image classification tabular data classification regression