Course subtitles reviews for Simplified Chinese (zh-CN)

Update:

With invaluable assistance from @Vermillion-de, we have successfully allocated ALL the items! We are now making preparations for the final touches on these Chinese (Simplified) subtitles.

Hi there 👋

Let's translate the course to `zh-CN` so that the whole community can benefit from this resource 🌎!

Below are the subtitles that need review, the existing translation was translated by Google translate - 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 `#390` in the description.

The recommended PR title is: `docs(zh-cn): Reviewed {{TITLE}}`
like: `docs(zh-cn): Reviewed No.01 - Welcome to the Hugging Face course`

Note:
1. Please claim one subtitle at a time.
2. Considering it will take times to review your PR, please try to 1) Fork this repo 2) Start a new branch to review 3) Open a Pull Request from that branch.
3. Let the team know if you have any questions here on the [Discord `chinese-simplified-translation` channel](https://discord.com/channels/879548962464493619/968862548009025536).

## Subtitles by Chapter

**0 - Setup & 1 - Transformer models**
- [ ] [No. 00 - Welcome to the Hugging Face course](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/00_welcome-to-the-hugging-face-course.srt) - by @iCell
- [ ] [No. 01 - The pipeline function](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/01_the-pipeline-function.srt) - by @iCell
- [ ] [No. 02 - The carbon footprint of Transformers](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/02_the-carbon-footprint-of-transformers.srt) - by @iCell
- [ ] [No. 03 - What is Transfer Learning?](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/03_what-is-transfer-learning.srt) - by @iCell
- [ ] [No. 04 - The Transformer architecture](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/04_the-transformer-architecture.srt) - by @iCell
- [ ] [No. 05 - Transformer models: Encoders](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/05_transformer-models-encoders.srt) - by @iCell
- [ ] [No. 06 - Transformer models: Decoders](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/06_transformer-models-decoders.srt) - by @iCell
- [ ] [No. 07 - Transformer models: Encoder-Decoders](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/07_transformer-models-encoder-decoders.srt) - by @iCell

**2 - Using 🤗 Transformers**

- [ ] [No. 08 - What happens inside the pipeline function? (PyTorch)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/08_what-happens-inside-the-pipeline-function-(pytorch).srt) - by @innovation64
- [ ] [No. 09 - What happens inside the pipeline function? (TensorFlow)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/09_what-happens-inside-the-pipeline-function-(tensorflow).srt) - by @Vermillion-de
- [ ] [No. 10 - Instantiate a Transformers model (PyTorch)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/10_instantiate-a-transformers-model-(pytorch).srt) - by @PowerChina
- [ ] [No. 11 - Instantiate a Transformers model (TensorFlow)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/11_instantiate-a-transformers-model-(tensorflow).srt) - by @Vermillion-de
- [ ] [No. 12 - Tokenizers overview](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/12_tokenizers-overview.srt) - by @Vermillion-de
- [ ] [No. 13 - Word-based tokenizers](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/13_word-based-tokenizers.srt) - by @Vermillion-de
- [ ] [No. 14 - Character-based tokenizers](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/14_character-based-tokenizers.srt) - by @Vermillion-de
- [ ] [No. 15 - Subword-based tokenizers](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/15_subword-based-tokenizers.srt) - by @Vermillion-de
- [ ] [No. 16 - The tokenization pipeline](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/16_the-tokenization-pipeline.srt) - by @Vermillion-de
- [ ] [No. 17 - Batching inputs together (PyTorch)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/17_batching-inputs-together-(pytorch).srt) - by @Vermillion-de
- [ ] [No. 18 - Batching inputs together (TensorFlow)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/18_batching-inputs-together-(tensorflow).srt) - by @Vermillion-de

**3 - Fine-tuning a pretrained model**

- [ ] [No. 19 - Hugging Face Datasets overview (Pytorch)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/19_hugging-face-datasets-overview-(pytorch).srt) - by @jyizheng
- [ ] [No. 20 - Hugging Face Datasets overview (Tensorflow)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/20_hugging-face-datasets-overview-(tensorflow).srt) - by @Vermillion-de
- [ ] [No. 21 - Preprocessing sentence pairs (PyTorch)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/21_preprocessing-sentence-pairs-(pytorch).srt) - by @Vermillion-de
- [ ] [No. 22 - Preprocessing sentence pairs (TensorFlow)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/22_preprocessing-sentence-pairs-(tensorflow).srt) - by @Vermillion-de
- [ ] [No. 23 - What is dynamic padding?](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/23_what-is-dynamic-padding.srt) - by @nuass
- [ ] [No. 24 - The Trainer API](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/24_the-trainer-api.srt) - by @maybenotime
- [ ] [No. 25 - Keras introduction](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/25_keras-introduction.srt) - by @txyzy1232006
- [ ] [No. 26 - Fine-tuning with TensorFlow](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/26_fine-tuning-with-tensorflow.srt) - by @Vermillion-de
- [ ] [No. 27 - Learning rate scheduling with TensorFlow](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/27_learning-rate-scheduling-with-tensorflow.srt) - by @Vermillion-de
- [ ] [No. 28 - TensorFlow Predictions and metrics](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/28_tensorflow-predictions-and-metrics.srt) - by @Vermillion-de
- [ ] [No. 29 - Write your training loop in PyTorch](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/29_write-your-training-loop-in-pytorch.srt) - by @FYJNEVERFOLLOWS
- [ ] [No. 30 - Supercharge your PyTorch training loop with Accelerate](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/30_supercharge-your-pytorch-training-loop-with-accelerate.srt) - by @Vermillion-de

**4 - Sharing models and tokenizers**

- [ ] [No. 31 - Navigating the Model Hub](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/31_navigating-the-model-hub.srt) - by @tyisme614
- [ ] [No. 32 - Managing a repo on the Model Hub](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/32_managing-a-repo-on-the-model-hub.srt) - by @tyisme614
- [ ] [No. 33 - The Push to Hub API (PyTorch)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/33_the-push-to-hub-api-(pytorch).srt) - by @tyisme614
- [ ] [No. 34 - The Push to Hub API (TensorFlow)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/34_the-push-to-hub-api-(tensorflow).srt) - by @tyisme614

**5 - The 🤗 Datasets library**

- [ ] [No. 35 - Loading a custom dataset](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/35_loading-a-custom-dataset.srt) - by @tyisme614
- [ ] [No. 36 - Slice and dice a dataset 🔪](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/36_slice-and-dice-a-dataset-🔪.srt) - by @tyisme614
- [ ] [No. 37 - Datasets + DataFrames = ❤️](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/37_datasets-+-dataframes-=-❤️.srt) - by @tyisme614
- [ ] [No. 38 - Saving and reloading a dataset](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/38_saving-and-reloading-a-dataset.srt) - by @tyisme614
- [ ] [No. 39 - Memory mapping & streaming](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/39_memory-mapping-&-streaming.srt) - by @tyisme614
- [ ] [No. 40 - Uploading a dataset to the Hub](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/40_uploading-a-dataset-to-the-hub.srt) - by @tyisme614
- [ ] [No. 41 - Text embeddings & semantic search](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/41_text-embeddings-&-semantic-search.srt) - by @tyisme614

**6 - The 🤗 Tokenizers library**

- [ ] [No. 42 - Training a new tokenizer](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/42_training-a-new-tokenizer.srt) - by @Vermillion-de
- [ ] [No. 43 - Why are fast tokenizers called fast?](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/43_why-are-fast-tokenizers-called-fast.srt) - by @Vermillion-de
- [ ] [No. 44 - Fast tokenizer superpowers](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/44_fast-tokenizer-superpowers.srt) - by @Vermillion-de
- [ ] [No. 45 - Inside the Token classification pipeline (PyTorch)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/45_inside-the-token-classification-pipeline-(pytorch).srt) - by @Vermillion-de
- [ ] [No. 46 - Inside the Token classification pipeline (TensorFlow)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/46_inside-the-token-classification-pipeline-(tensorflow).srt) - by @Vermillion-de
- [ ] [No. 47 - Inside the Question answering pipeline (PyTorch)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/47_inside-the-question-answering-pipeline-(pytorch).srt) - by @Vermillion-de
- [ ] [No. 48 - Inside the Question answering pipeline (TensorFlow)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/48_inside-the-question-answering-pipeline-(tensorflow).srt) - by @Vermillion-de
- [ ] [No. 49 - What is normalization?](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/49_what-is-normalization.srt) - by @Vermillion-de
- [ ] [No. 50 - What is pre-tokenization?](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/50_what-is-pre-tokenization.srt) - by @Vermillion-de
- [ ] [No. 51 - Byte Pair Encoding Tokenization](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/51_byte-pair-encoding-tokenization.srt) - by @Vermillion-de
- [ ] [No. 52 - WordPiece Tokenization](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/52_wordpiece-tokenization.srt) - by @Vermillion-de
- [ ] [No. 53 - Unigram Tokenization](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/53_unigram-tokenization.srt) - by @Vermillion-de
- [ ] [No. 54 - Building a new tokenizer](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/54_building-a-new-tokenizer.srt) - by @Vermillion-de

**7 - Main NLP tasks** (DONE)

- [ ] [No. 55 - Data processing for Token Classification](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/55_data-processing-for-token-classification.srt) - by @tyisme614
- [ ] [No. 56 - Data processing for Masked Language Modeling](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/56_data-processing-for-masked-language-modeling.srt) - by @tyisme614
- [ ] [No. 57 - What is perplexity?](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/57_what-is-perplexity.srt) - by @tyisme614
- [ ] [No. 58 - What is domain adaptation?](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/58_what-is-domain-adaptation.srt) - by @tyisme614
- [ ] [No. 59 - Data processing for Translation](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/59_data-processing-for-translation.srt) - by @tyisme614
- [ ] [No. 60 - What is the BLEU metric?](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/60_what-is-the-bleu-metric.srt) - by @tyisme614
- [ ] [No. 61 - Data processing for Summarization](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/61_data-processing-for-summarization.srt) - by @tyisme614
- [ ] [No. 62 - What is the ROUGE metric?](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/62_what-is-the-rouge-metric.srt) - by @tyisme614
- [ ] [No. 63 - Data processing for Causal Language Modeling](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/63_data-processing-for-causal-language-modeling.srt) - by @tyisme614
- [ ] [No. 64 - Using a custom loss function](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/64_using-a-custom-loss-function.srt) - by @tyisme614
- [ ] [No. 65 - Data processing for Question Answering](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/65_data-processing-for-question-answering.srt) - by @tyisme614
- [ ] [No. 66 - The Post processing step in Question Answering (PyTorch)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/66_the-post-processing-step-in-question-answering-(pytorch).srt) - by @tyisme614
- [ ] [No. 67 - The Post processing step in Question Answering (TensorFlow)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/67_the-post-processing-step-in-question-answering-(tensorflow).srt) - by @tyisme614
- [ ] [No. 68 - Data Collators: A Tour](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/68_data-collators-a-tour.srt) - by @tyisme614

**8 - How to ask for help**

- [ ] [No. 69 - What to do when you get an error?](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/69_what-to-do-when-you-get-an-error.srt) - by @yaoqih
- [ ] [No. 70 - Using a debugger in a notebook](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/70_using-a-debugger-in-a-notebook.srt) - by @iCell
- [ ] [No. 71 - Using a debugger in a terminal](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/71_using-a-debugger-in-a-terminal.srt) - by @iCell
- [ ] [No. 72 - Asking for help on the forums](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/72_asking-for-help-on-the-forums.srt) - by @zhangchaosd
- [ ] [No. 73 - Debugging the Training Pipeline (PyTorch)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/73_debugging-the-training-pipeline-(pytorch).srt) - by @Vermillion-de
- [ ] [No. 74 - Debugging the Training Pipeline (TensorFlow)](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/74_debugging-the-training-pipeline-(tensorflow).srt) - by @Vermillion-de
- [ ] [No. 75 - Writing a good issue](https://github.com/huggingface/course/blob/main/subtitles/zh-CN/75_writing-a-good-issue.srt) - by @Vermillion-de