Hi there 👋

Let's translate the course to Russian so that the whole community can benefit from this resource 🌎!

Below are the chapters and files that need translating - let us know here if you'd like to translate any and we'll add your name to the list. Once you're finished, open a pull request and tag this issue by including #issue-number in the description, where issue-number is the number of this issue.

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Chapters

0 - Setup

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1 - Transformer models

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2 - Using 🤗 Transformers

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3 - Fine-tuning a pretrained model

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4 - Sharing models and tokenizers

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5 - The 🤗 Datasets library

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6 - The 🤗 Tokenizers library

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7 - Main NLP tasks

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8 - How to ask for help

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9 – Building and sharing demos

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Events

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Subtitles

• 00_welcome-to-the-hugging-face-course.srt
• 01_the-pipeline-function.srt
• 02_the-carbon-footprint-of-transformers.srt
• 03_what-is-transfer-learning.srt
• 04_the-transformer-architecture.srt
• 05_transformer-models-encoders.srt
• 06 transformer-models-decoders.srt
• 07_transformer-models-encoder-decoders.srt
• 08_what-happens-inside-the-pipeline-function-(pytorch).srt
• 09_what-happens-inside-the-pipeline-function-(tensorflow).srt
• 10_instantiate-a-transformers-model-(pytorch).srt
• 11_instantiate-a-transformers-model-(tensorflow).srt