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Adds flashcards to Glossary & makes small corrections (#8949)

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* fix: Makes small typo corrections & standardises glossary

* feat: Adds introduction & links to transformer flashcards

* feat: Adds attribution & adjustments requested in #8949

* feat: Adds flashcards to community.md

* refactor: Removes flashcards from glossary
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Darigov Research
2021-01-20 18:28:40 +00:00
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commit 5a307ece82
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docs/source/community.md
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This page regroups resources around 🤗 Transformers developed by the community. This page regroups resources around 🤗 Transformers developed by the community.
## Community resources:
| Resource | Description | Author |
|:----------|:-------------|------:|
| [Hugging Face Transformers Glossary Flashcards](https://www.darigovresearch.com/huggingface-transformers-glossary-flashcards) | A set of flashcards based on the [Transformers Docs Glossary](https://huggingface.co/transformers/master/glossary.html) that has been put into a form which can be easily learnt/revised using [Anki ](https://apps.ankiweb.net/) an open source, cross platform app specifically designed for long term knowledge retention. See this [Introductory video on how to use the flashcards](https://www.youtube.com/watch?v=Dji_h7PILrw). | [Darigov Research](https://www.darigovresearch.com/) |
## Community notebooks: ## Community notebooks:
| Notebook | Description | Author | | | Notebook | Description | Author | |

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docs/source/glossary.rst
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@@ -25,10 +25,10 @@ General terms
by masking some tokens randomly, and has to predict the original text. by masking some tokens randomly, and has to predict the original text.
- multimodal: a task that combines texts with another kind of inputs (for instance images). - multimodal: a task that combines texts with another kind of inputs (for instance images).
- NLG: natural language generation, all tasks related to generating text (for instance talk with transformers, - NLG: natural language generation, all tasks related to generating text (for instance talk with transformers,
translation) translation).
- NLP: natural language processing, a generic way to say "deal with texts". - NLP: natural language processing, a generic way to say "deal with texts".
- NLU: natural language understanding, all tasks related to understanding what is in a text (for instance classifying - NLU: natural language understanding, all tasks related to understanding what is in a text (for instance classifying
the whole text, individual words) the whole text, individual words).
- pretrained model: a model that has been pretrained on some data (for instance all of Wikipedia). Pretraining methods - pretrained model: a model that has been pretrained on some data (for instance all of Wikipedia). Pretraining methods
involve a self-supervised objective, which can be reading the text and trying to predict the next word (see CLM) or involve a self-supervised objective, which can be reading the text and trying to predict the next word (see CLM) or
masking some words and trying to predict them (see MLM). masking some words and trying to predict them (see MLM).