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[TR] Translated Chapter 1.6 🤗 #185

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1 change: 1 addition & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,7 @@ This repo contains the content that's used to create the **[Hugging Face course]
| [Russian](https://huggingface.co/course/ru/chapter1/1) (WIP) | [`chapters/ru`](https://github.com/huggingface/course/tree/main/chapters/ru) | [@pdumin](https://github.com/pdumin), [@svv73](https://github.com/svv73) |
| [Spanish](https://huggingface.co/course/es/chapter1/1) (WIP) | [`chapters/es`](https://github.com/huggingface/course/tree/main/chapters/es) | [@camartinezbu](https://github.com/camartinezbu), [@munozariasjm](https://github.com/munozariasjm), [@fordaz](https://github.com/fordaz) |
| [Thai](https://huggingface.co/course/th/chapter1/1) (WIP) | [`chapters/th`](https://github.com/huggingface/course/tree/main/chapters/th) | [@peeraponw](https://github.com/peeraponw), [@a-krirk](https://github.com/a-krirk), [@jomariya23156](https://github.com/jomariya23156), [@ckingkan](https://github.com/ckingkan) |
| [Turkish](https://huggingface.co/course/tr/chapter1/1) (WIP) | [`chapters/tr`](https://github.com/huggingface/course/tree/main/chapters/tr) | [@tanersekmen](https://github.com/tanersekmen), [@mertbozkir](https://github.com/mertbozkir), [@ftarlaci](https://github.com/ftarlaci), [@akkasayaz](https://github.com/akkasayaz) |

### Translating the course into your language

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3 changes: 3 additions & 0 deletions chapters/tr/_toctree.yml
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Expand Up @@ -12,6 +12,9 @@
title: Doğal Dil İşleme
- local: chapter1/5
title: Encoder modelleri
- local: chapter1/6
title: Decoder modelleri


- title: 2. 🤗 Transformers Kullanımı
sections:
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16 changes: 16 additions & 0 deletions chapters/tr/chapter1/6.mdx
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# Decoder modelleri

<Youtube id="d_ixlCubqQw" />

Decoder modeller, yalnızca bir Transformer modelinin decoderini kullanır. Her aşamada, attention katmanları sadece cümlede kendisinden önce gelen kelimelere erişebilir. Bu modeller *auto-regressive models* olarak isimlendirilir.

Decoder modellerin ön eğitimi genellikle cümledeki bir sonraki kelimeyi tahmin etme şeklinde görevlendirilir.

Bu modeller, en çok metin oluşturmayı içeren görevler için uygundur.

Bu model ailelerinin temsilcileri şunları kapsar:

- [CTRL](https://huggingface.co/transformers/model_doc/ctrl.html)
- [GPT](https://huggingface.co/transformers/model_doc/gpt.html)
- [GPT-2](https://huggingface.co/transformers/model_doc/gpt2.html)
- [Transformer XL](https://huggingface.co/transformers/model_doc/transformerxl.html)