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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
This commit is contained in:
Darigov Research
2021-01-20 18:28:40 +00:00
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parent 3cd91e8162
commit 5a307ece82
2 changed files with 8 additions and 3 deletions
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docs/source/community.md
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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:
| Notebook | Description | Author | |

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docs/source/glossary.rst
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@@ -24,11 +24,11 @@ General terms
- MLM: masked language modeling, a pretraining task where the model sees a corrupted version of the texts, usually done
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).
- NLG: natural language generation, all tasks related to generating text ( for instance talk with transformers,
translation)
- NLG: natural language generation, all tasks related to generating text (for instance talk with transformers,
translation).
- 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
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
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).