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Description
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.
🙋 If you'd like others to help you with the translation, you can also post in our forums or tag @_lewtun on Twitter to gain some visibility.
Chapters
0 - Setup
1 - Transformer models
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2 - Using 🤗 Transformers
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3 - Fine-tuning a pretrained model
4 - Sharing models and tokenizers
5 - The 🤗 Datasets library
6 - The 🤗 Tokenizers library
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7 - Main NLP tasks
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8 - How to ask for help
9 – Building and sharing demos
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Events
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