Upload 12 files

.dockerignore

@@ -0,0 +1,15 @@
+build/
+dist/
+logs/
+output/
+output2/
+test/
+test.py
+.DS_Store
+.vscode/
+op*
+op_*
+.git
+*.db
+autotrain-data*
+autotrain-*

.gitignore

@@ -0,0 +1,147 @@
+# Local stuff
+.DS_Store
+.vscode/
+test/
+test.py
+output/
+output2/
+logs/
+op_*/
+autotrain.db
+autotrain.log
+*.db
+data/
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+autotrain-data*
+autotrain-*
+op-*
+# C extensions
+*.so
+test.yml
+test.ipynb
+output.png
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/

Dockerfile

@@ -0,0 +1,83 @@
+FROM nvidia/cuda:12.1.1-cudnn8-runtime-ubuntu22.04
+
+ENV DEBIAN_FRONTEND=noninteractive \
+    TZ=UTC \
+    HF_HUB_ENABLE_HF_TRANSFER=1
+
+ENV PATH="${HOME}/miniconda3/bin:${PATH}"
+ARG PATH="${HOME}/miniconda3/bin:${PATH}"
+ENV PATH="/app/ngc-cli:${PATH}"
+ARG PATH="/app/ngc-cli:${PATH}"
+
+RUN mkdir -p /tmp/model && \
+    chown -R 1000:1000 /tmp/model && \
+    mkdir -p /tmp/data && \
+    chown -R 1000:1000 /tmp/data
+
+RUN apt-get update &&  \
+    apt-get upgrade -y &&  \
+    apt-get install -y \
+    build-essential \
+    cmake \
+    curl \
+    ca-certificates \
+    gcc \
+    git \
+    locales \
+    net-tools \
+    wget \
+    libpq-dev \
+    libsndfile1-dev \
+    git \
+    git-lfs \
+    libgl1 \
+    unzip \
+    libjpeg-dev \
+    libpng-dev \
+    libgomp1 \
+    && rm -rf /var/lib/apt/lists/* && \
+    apt-get clean
+
+
+RUN curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | bash && \
+    git lfs install
+
+WORKDIR /app
+RUN mkdir -p /app/.cache
+ENV HF_HOME="/app/.cache"
+RUN useradd -m -u 1000 user
+RUN chown -R user:user /app
+USER user
+ENV HOME=/app
+
+ENV PYTHONPATH=$HOME/app \
+    PYTHONUNBUFFERED=1 \
+    GRADIO_ALLOW_FLAGGING=never \
+    GRADIO_NUM_PORTS=1 \
+    GRADIO_SERVER_NAME=0.0.0.0 \
+    SYSTEM=spaces
+
+
+RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh \
+    && sh Miniconda3-latest-Linux-x86_64.sh -b -p /app/miniconda \
+    && rm -f Miniconda3-latest-Linux-x86_64.sh
+ENV PATH /app/miniconda/bin:$PATH
+
+RUN conda create -p /app/env -y python=3.10
+
+SHELL ["conda", "run","--no-capture-output", "-p","/app/env", "/bin/bash", "-c"]
+
+RUN conda install pytorch==2.4.0 torchvision==0.19.0 torchaudio==2.4.0 pytorch-cuda=12.1 -c pytorch -c nvidia && \
+    conda clean -ya && \
+    conda install -c "nvidia/label/cuda-12.1.1" cuda-nvcc && conda clean -ya && \
+    conda install xformers -c xformers && conda clean -ya
+
+COPY --chown=1000:1000 . /app/
+
+RUN pip install -e . && \
+    python -m nltk.downloader punkt && \
+    pip install -U ninja && \
+    pip install -U flash-attn --no-build-isolation && \
+    pip install -U deepspeed && \
+    pip install --upgrade --force-reinstall --no-cache-dir "unsloth[cu121-ampere-torch230] @ git+https://github.com/unslothai/unsloth.git" --no-deps && \
+    pip cache purge

Dockerfile.api

@@ -0,0 +1,3 @@
+FROM huggingface/autotrain-advanced:latest
+
+CMD autotrain api --port 7860 --host 0.0.0.0

Dockerfile.app

@@ -0,0 +1,2 @@
+FROM huggingface/autotrain-advanced:latest
+CMD uvicorn autotrain.app:app --host 0.0.0.0 --port 7860 --reload --workers 4

LICENSE

@@ -0,0 +1,202 @@
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

Makefile

@@ -0,0 +1,39 @@
+.PHONY: quality style test
+
+# Check that source code meets quality standards
+
+quality:
+	black --check --line-length 119 --target-version py38 .
+	isort --check-only .
+	flake8 --max-line-length 119
+
+# Format source code automatically
+
+style:
+	black --line-length 119 --target-version py38 .
+	isort .
+
+test:
+	pytest -sv ./src/
+
+docker:
+	docker build -t autotrain-advanced:latest .
+	docker tag autotrain-advanced:latest huggingface/autotrain-advanced:latest
+	docker push huggingface/autotrain-advanced:latest
+
+api:
+	docker build -t autotrain-advanced-api:latest -f Dockerfile.api .
+	docker tag autotrain-advanced-api:latest public.ecr.aws/z4c3o6n6/autotrain-api:latest
+	docker push public.ecr.aws/z4c3o6n6/autotrain-api:latest
+
+ngc:
+	docker build -t autotrain-advanced:latest .
+	docker tag autotrain-advanced:latest nvcr.io/ycymhzotssoi/autotrain-advanced:latest
+	docker push nvcr.io/ycymhzotssoi/autotrain-advanced:latest
+
+pip:
+	rm -rf build/
+	rm -rf dist/
+	make style && make quality
+	python setup.py sdist bdist_wheel
+	twine upload dist/* --verbose --repository autotrain-advanced

Manifest.in

@@ -0,0 +1,2 @@
+recursive-include src/autotrain/static *
+recursive-include src/autotrain/templates *

README.md

@@ -0,0 +1,133 @@
+# 🤗 AutoTrain Advanced
+
+AutoTrain Advanced: faster and easier training and deployments of state-of-the-art machine learning models. AutoTrain Advanced is a no-code solution that allows you to train machine learning models in just a few clicks. Please note that you must upload data in correct format for project to be created. For help regarding proper data format and pricing, check out the documentation. 
+
+NOTE: AutoTrain is free! You only pay for the resources you use in case you decide to run AutoTrain on Hugging Face Spaces. When running locally, you only pay for the resources you use on your own infrastructure.
+
+## Supported Tasks
+
+| Task | Status | Python Notebook | Example Configs |
+| --- | --- | --- | --- |
+| LLM SFT Finetuning | ✅ | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/autotrain-advanced/blob/main/notebooks/llm_finetuning.ipynb) | [llm_sft_finetune.yaml](https://github.com/huggingface/autotrain-advanced/blob/main/configs/llm_finetuning/smollm2.yml) |
+| LLM ORPO Finetuning | ✅ | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/autotrain-advanced/blob/main/notebooks/llm_finetuning.ipynb) | [llm_orpo_finetune.yaml](https://github.com/huggingface/autotrain-advanced/blob/main/configs/llm_finetuning/llama3-8b-orpo.yml) |
+| LLM DPO Finetuning | ✅ | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/autotrain-advanced/blob/main/notebooks/llm_finetuning.ipynb) | [llm_dpo_finetune.yaml](https://github.com/huggingface/autotrain-advanced/blob/main/configs/llm_finetuning/llama3-8b-dpo-qlora.yml) |
+| LLM Reward Finetuning | ✅ | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/autotrain-advanced/blob/main/notebooks/llm_finetuning.ipynb) | [llm_reward_finetune.yaml](https://github.com/huggingface/autotrain-advanced/blob/main/configs/llm_finetuning/llama32-1b-sft.yml) |
+| LLM Generic/Default Finetuning | ✅ | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/autotrain-advanced/blob/main/notebooks/llm_finetuning.ipynb) | [llm_generic_finetune.yaml](https://github.com/huggingface/autotrain-advanced/blob/main/configs/llm_finetuning/gpt2_sft.yml) |
+| Text Classification | ✅ | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/autotrain-advanced/blob/main/notebooks/text_classification.ipynb) | [text_classification.yaml](https://github.com/huggingface/autotrain-advanced/tree/main/configs/text_classification) |
+| Text Regression | ✅ | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/autotrain-advanced/blob/main/notebooks/text_regression.ipynb) | [text_regression.yaml](https://github.com/huggingface/autotrain-advanced/tree/main/configs/text_regression) |
+| Token Classification | ✅ | Coming Soon | [token_classification.yaml](https://github.com/huggingface/autotrain-advanced/tree/main/configs/token_classification) |
+| Seq2Seq | ✅ | Coming Soon | [seq2seq.yaml](https://github.com/huggingface/autotrain-advanced/tree/main/configs/seq2seq) |
+| Extractive Question Answering | ✅ | Coming Soon | [extractive_qa.yaml](https://github.com/huggingface/autotrain-advanced/tree/main/configs/extractive_question_answering) |
+| Image Classification | ✅ | Coming Soon | [image_classification.yaml](https://github.com/huggingface/autotrain-advanced/tree/main/configs/image_classification) |
+| Image Scoring/Regression | ✅ | Coming Soon | [image_regression.yaml](https://github.com/huggingface/autotrain-advanced/tree/main/configs/image_scoring) |
+| VLM | 🟥 | Coming Soon | [vlm.yaml](https://github.com/huggingface/autotrain-advanced/tree/main/configs/vlm) |
+
+
+## Running UI on Colab or Hugging Face Spaces
+
+- Deploy AutoTrain on Hugging Face Spaces: [![Deploy on Spaces](https://huggingface.co/datasets/huggingface/badges/resolve/main/deploy-on-spaces-md.svg)](https://huggingface.co/login?next=%2Fspaces%2Fautotrain-projects%2Fautotrain-advanced%3Fduplicate%3Dtrue)
+
+
+- Run AutoTrain UI on Colab via ngrok: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/autotrain-advanced/blob/main/colabs/AutoTrain_ngrok.ipynb)
+
+
+## Local Installation
+
+You can Install AutoTrain-Advanced python package via PIP. Please note you will need python >= 3.10 for AutoTrain Advanced to work properly.
+
+    pip install autotrain-advanced
+    
+Please make sure that you have git lfs installed. Check out the instructions here: https://github.com/git-lfs/git-lfs/wiki/Installation
+
+You also need to install torch, torchaudio and torchvision.
+
+The best way to run autotrain is in a conda environment. You can create a new conda environment with the following command:
+
+    conda create -n autotrain python=3.10
+    conda activate autotrain
+    pip install autotrain-advanced
+    conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
+    conda install -c "nvidia/label/cuda-12.1.0" cuda-nvcc
+
+Once done, you can start the application using:
+
+    autotrain app --port 8080 --host 127.0.0.1
+
+
+If you are not fond of UI, you can use AutoTrain Configs to train using command line or simply AutoTrain CLI.
+
+To use config file for training, you can use the following command:
+
+    autotrain --config <path_to_config_file>
+
+
+You can find sample config files in the `configs` directory of this repository.
+
+Example config file for finetuning SmolLM2:
+
+```yaml
+task: llm-sft
+base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct
+project_name: autotrain-smollm2-finetune
+log: tensorboard
+backend: local
+
+data:
+  path: HuggingFaceH4/no_robots
+  train_split: train
+  valid_split: null
+  chat_template: tokenizer
+  column_mapping:
+    text_column: messages
+
+params:
+  block_size: 2048
+  model_max_length: 4096
+  epochs: 2
+  batch_size: 1
+  lr: 1e-5
+  peft: true
+  quantization: int4
+  target_modules: all-linear
+  padding: right
+  optimizer: paged_adamw_8bit
+  scheduler: linear
+  gradient_accumulation: 8
+  mixed_precision: bf16
+  merge_adapter: true
+
+hub:
+  username: ${HF_USERNAME}
+  token: ${HF_TOKEN}
+  push_to_hub: true
+```
+
+To fine-tune a model using the config file above, you can use the following command:
+
+```bash
+$ export HF_USERNAME=<your_hugging_face_username>
+$ export HF_TOKEN=<your_hugging_face_write_token>
+$ autotrain --config <path_to_config_file>
+```
+
+
+## Documentation
+
+Documentation is available at https://hf.co/docs/autotrain/
+
+## Citation
+
+```
+@inproceedings{thakur-2024-autotrain,
+    title = "{A}uto{T}rain: No-code training for state-of-the-art models",
+    author = "Thakur, Abhishek",
+    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
+    month = nov,
+    year = "2024",
+    address = "Miami, Florida, USA",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2024.emnlp-demo.44",
+    pages = "419--423",
+    abstract = "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.",
+}
+```

requirements.txt

@@ -0,0 +1,49 @@
+albumentations==1.4.23
+datasets[vision]~=3.2.0
+evaluate==0.4.3
+ipadic==1.0.0
+jiwer==3.0.5
+joblib==1.4.2
+loguru==0.7.3
+pandas==2.2.3
+nltk==3.9.1
+optuna==4.1.0
+Pillow==11.0.0
+sacremoses==0.1.1
+scikit-learn==1.6.0
+sentencepiece==0.2.0
+tqdm==4.67.1
+werkzeug==3.1.3
+xgboost==2.1.3
+huggingface_hub==0.27.0
+requests==2.32.3
+einops==0.8.0
+packaging==24.2
+cryptography==44.0.0
+nvitop==1.3.2
+# latest versions
+tensorboard==2.18.0
+peft==0.14.0
+trl==0.13.0
+tiktoken==0.8.0
+transformers==4.48.0
+accelerate==1.2.1
+bitsandbytes==0.45.0
+# extras
+rouge_score==0.1.2
+py7zr==0.22.0
+fastapi==0.115.6
+uvicorn==0.34.0
+python-multipart==0.0.20
+pydantic==2.10.4
+hf-transfer
+pyngrok==7.2.1
+authlib==1.4.0
+itsdangerous==2.2.0
+seqeval==1.2.2
+httpx==0.28.1
+pyyaml==6.0.2
+timm==1.0.12
+torchmetrics==1.6.0
+pycocotools==2.0.8
+sentence-transformers==3.3.1

setup.cfg

@@ -0,0 +1,26 @@
+[metadata]
+license_files = LICENSE
+version = attr: autotrain.__version__
+
+[isort]
+ensure_newline_before_comments = True
+force_grid_wrap = 0
+include_trailing_comma = True
+line_length = 119
+lines_after_imports = 2
+multi_line_output = 3
+use_parentheses = True
+
+[flake8]
+ignore = E203, E501, W503
+max-line-length = 119
+per-file-ignores =
+    # imported but unused
+    __init__.py: F401, E402
+    src/autotrain/params.py: F401
+exclude =
+    .git,
+    .venv,
+    __pycache__,
+    dist
+    build

setup.py

@@ -0,0 +1,106 @@
+# Lint as: python3
+"""
+HuggingFace / AutoTrain Advanced
+"""
+import os
+
+from setuptools import find_packages, setup
+
+
+DOCLINES = __doc__.split("\n")
+
+this_directory = os.path.abspath(os.path.dirname(__file__))
+with open(os.path.join(this_directory, "README.md"), encoding="utf-8") as f:
+    LONG_DESCRIPTION = f.read()
+
+# get INSTALL_REQUIRES from requirements.txt
+INSTALL_REQUIRES = []
+requirements_path = os.path.join(this_directory, "requirements.txt")
+with open(requirements_path, encoding="utf-8") as f:
+    for line in f:
+        # Exclude 'bitsandbytes' if installing on macOS
+        if "bitsandbytes" in line:
+            line = line.strip() + " ; sys_platform == 'linux'"
+            INSTALL_REQUIRES.append(line.strip())
+        else:
+            INSTALL_REQUIRES.append(line.strip())
+
+QUALITY_REQUIRE = [
+    "black",
+    "isort",
+    "flake8==3.7.9",
+]
+
+TESTS_REQUIRE = ["pytest"]
+
+CLIENT_REQUIRES = ["requests", "loguru"]
+
+
+EXTRAS_REQUIRE = {
+    "base": INSTALL_REQUIRES,
+    "dev": INSTALL_REQUIRES + QUALITY_REQUIRE + TESTS_REQUIRE,
+    "quality": INSTALL_REQUIRES + QUALITY_REQUIRE,
+    "docs": INSTALL_REQUIRES
+    + [
+        "recommonmark",
+        "sphinx==3.1.2",
+        "sphinx-markdown-tables",
+        "sphinx-rtd-theme==0.4.3",
+        "sphinx-copybutton",
+    ],
+    "client": CLIENT_REQUIRES,
+}
+
+setup(
+    name="autotrain-advanced",
+    description=DOCLINES[0],
+    long_description=LONG_DESCRIPTION,
+    long_description_content_type="text/markdown",
+    author="HuggingFace Inc.",
+    author_email="autotrain@huggingface.co",
+    url="https://github.com/huggingface/autotrain-advanced",
+    download_url="https://github.com/huggingface/autotrain-advanced/tags",
+    license="Apache 2.0",
+    package_dir={"": "src"},
+    packages=find_packages("src"),
+    extras_require=EXTRAS_REQUIRE,
+    install_requires=INSTALL_REQUIRES,
+    entry_points={"console_scripts": ["autotrain=autotrain.cli.autotrain:main"]},
+    classifiers=[
+        "Development Status :: 5 - Production/Stable",
+        "Intended Audience :: Developers",
+        "Intended Audience :: Education",
+        "Intended Audience :: Science/Research",
+        "License :: OSI Approved :: Apache Software License",
+        "Operating System :: OS Independent",
+        "Programming Language :: Python :: 3.8",
+        "Programming Language :: Python :: 3.9",
+        "Programming Language :: Python :: 3.10",
+        "Programming Language :: Python :: 3.11",
+        "Topic :: Scientific/Engineering :: Artificial Intelligence",
+    ],
+    keywords="automl autonlp autotrain huggingface",
+    data_files=[
+        (
+            "static",
+            [
+                "src/autotrain/app/static/logo.png",
+                "src/autotrain/app/static/scripts/fetch_data_and_update_models.js",
+                "src/autotrain/app/static/scripts/listeners.js",
+                "src/autotrain/app/static/scripts/utils.js",
+                "src/autotrain/app/static/scripts/poll.js",
+                "src/autotrain/app/static/scripts/logs.js",
+            ],
+        ),
+        (
+            "templates",
+            [
+                "src/autotrain/app/templates/index.html",
+                "src/autotrain/app/templates/error.html",
+                "src/autotrain/app/templates/duplicate.html",
+                "src/autotrain/app/templates/login.html",
+            ],
+        ),
+    ],
+    include_package_data=True,
+)