🎨 structure docs

pull/1575/head
nateraw 3 years ago
parent e8ddc6865c
commit 9c7e6d6907

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# Hugging Face Timm Docs
## Getting Started
```
pip install git+https://github.com/huggingface/doc-builder.git@main#egg=hf-doc-builder
pip install watchdog black
```
## Preview the Docs Locally
```
doc-builder preview pytorch-image-models hfdocs/source --not_python_module
```

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- sections: - sections:
- local: index - local: index
title: Pytorch Image Models (timm) title: Home
- local: quickstart
title: Quickstart
- local: installation
title: Installation
title: Get started
- sections:
- local: inference
title: Using Pretrained Models for Inference
- local: training_script
title: Training With The Official Training Script
- local: hf_hub
title: Share and Load Models from the Hugging Face Hub
title: Tutorials
- sections:
- local: reference/models
title: Models
- local: reference/augmentation
title: Augmentation
- local: reference/data
title: Data
- local: reference/optimization
title: Optimization
title: Reference
- sections:
- local: models - local: models
title: Model Summaries title: Model Summaries
- local: results - local: results
@ -145,5 +169,4 @@
title: Wide ResNet title: Wide ResNet
- local: models/xception - local: models/xception
title: Xception title: Xception
title: Get started title: Legacy Docs

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# Sharing and Loading Models From the Hugging Face Hub
TODO

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## Welcome ## Welcome
`timm` is a library containing SOTA computer vision models, layers, utilities, optimizers, schedulers, data-loaders, augmentations, and training/evaluation scripts.
TODO - clean up, move code snippets to quickstart
Welcome to the `timm` documentation, a lean set of docs that covers the basics of `timm`. Welcome to the `timm` documentation, a lean set of docs that covers the basics of `timm`.
For a more comprehensive set of docs (currently under development), please visit [timmdocs](http://timm.fast.ai) by [Aman Arora](https://github.com/amaarora). For a more comprehensive set of docs (currently under development), please visit [timmdocs](http://timm.fast.ai) by [Aman Arora](https://github.com/amaarora).

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# Inference
TODO

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# Installation
TODO

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# Quickstart
TODO

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# Training Using the Official Training Script
TODO
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