chore: import upstream snapshot with attribution
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import re
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README_TEMPLATE = """
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<p align="center">
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<br/>
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<picture>
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<source media="(prefers-color-scheme: dark)" srcset="https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/transformersjs-dark.svg" width="500" style="max-width: 100%;">
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<source media="(prefers-color-scheme: light)" srcset="https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/transformersjs-light.svg" width="500" style="max-width: 100%;">
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<img alt="transformers.js javascript library logo" src="https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/transformersjs-light.svg" width="500" style="max-width: 100%;">
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</picture>
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<br/>
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</p>
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<p align="center">
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<a href="https://www.npmjs.com/package/@huggingface/transformers"><img alt="NPM" src="https://img.shields.io/npm/v/@huggingface/transformers"></a>
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<a href="https://www.npmjs.com/package/@huggingface/transformers"><img alt="NPM Downloads" src="https://img.shields.io/npm/dw/@huggingface/transformers"></a>
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<a href="https://www.jsdelivr.com/package/npm/@huggingface/transformers"><img alt="jsDelivr Hits" src="https://img.shields.io/jsdelivr/npm/hw/@huggingface/transformers"></a>
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<a href="https://github.com/huggingface/transformers.js/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/github/license/huggingface/transformers.js?color=blue"></a>
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<a href="https://huggingface.co/docs/transformers.js/index"><img alt="Documentation" src="https://img.shields.io/website/http/huggingface.co/docs/transformers.js/index.svg?down_color=red&down_message=offline&up_message=online"></a>
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</p>
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{intro}
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## Installation
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{installation}
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## Quick tour
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{quick_tour}
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## Custom usage
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{custom_usage}
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## Supported tasks/models
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Here is the list of all tasks and architectures currently supported by Transformers.js. If you don't see your task/model listed here or it is not yet supported, feel free to open up a feature request [here](https://github.com/huggingface/transformers.js/issues/new/choose).
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To find compatible models on the Hub, select the "transformers.js" library tag in the filter menu (or visit [this link](https://huggingface.co/models?library=transformers.js)). You can refine your search by selecting the task you're interested in (e.g., [text-classification](https://huggingface.co/models?pipeline_tag=text-classification&library=transformers.js)).
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{tasks}
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{models}
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"""
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FILES_TO_INCLUDE = dict(
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intro='./docs/snippets/0_introduction.snippet',
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quick_tour='./docs/snippets/1_quick-tour.snippet',
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installation='./docs/snippets/2_installation.snippet',
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custom_usage='./docs/snippets/3_custom-usage.snippet',
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tasks='./docs/snippets/4_supported-tasks.snippet',
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models='./docs/snippets/5_supported-models.snippet',
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)
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DOCS_BASE_URL = 'https://huggingface.co/docs/transformers.js'
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# Map of custom links to replace, typically used for links to other sections of the README.
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CUSTOM_LINK_MAP = {
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'/custom_usage#convert-your-models-to-onnx': '#convert-your-models-to-onnx',
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'./api/env': DOCS_BASE_URL + '/api/env',
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'./guides/webgpu': DOCS_BASE_URL + '/guides/webgpu',
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'./guides/dtypes': DOCS_BASE_URL + '/guides/dtypes',
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}
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def main():
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file_data = {}
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for key, file_path in FILES_TO_INCLUDE.items():
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with open(file_path, encoding='utf-8') as f:
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file_data[key] = f.read()
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# Fix links:
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# NOTE: This regex does not match all markdown links, but works for the ones we need to replace.
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LINK_RE = r'(?<=\])\((.+?)\)'
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def replace_fn(match):
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link = match.group(1)
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if link in CUSTOM_LINK_MAP:
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link = CUSTOM_LINK_MAP[link]
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elif link.startswith('/'):
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# Link to docs
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link = DOCS_BASE_URL + link
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elif link.startswith('./'):
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# Relative link to file
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pass
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elif link.startswith('http'):
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# Link to external site
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pass
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return f'({link})'
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result = README_TEMPLATE.format(**file_data)
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result = re.sub(LINK_RE, replace_fn, result, count=0, flags=re.MULTILINE)
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with open('README.md', 'w', encoding='utf-8') as f:
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f.write(result)
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if __name__ == '__main__':
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main()
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