Repository: transformers
Issue: [i18n-ar] Translating docs to Arabic (العربية)
Labels: WIP

Hi! !مرحبا! السلام عليكم

Let's bring the documentation to all the Arabic-speaking community 🌏 (currently 0 out of 267 complete)

Would you want to translate? Please follow the 🤗 [TRANSLATING guide](https://github.com/huggingface/transformers/blob/main/docs/TRANSLATING.md). Here is a list of the files ready for translation. Let us know in this issue if you'd like to translate any, and we'll add your name to the list.

### Some notes:

- Please translate using an informal tone (imagine you are talking with a friend about transformers 🤗).
- Please translate in a gender-neutral way.
- Add your translations to the folder called ko inside the [docs/source/ar](https://github.com/huggingface/transformers/tree/main/docs/source/ar).
- Register your translation in ar/_toctree.yml; please follow the order of the [English version](https://github.com/huggingface/transformers/blob/main/docs/source/en/_toctree.yml).
- 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. Please ping @stevhliu, @MKhalusova and @abodacs for review.
- 🙋 If you'd like others to help you with the translation, you can also post in the 🤗 [forums](https://discuss.huggingface.co/).
- 

@AhmedAlmaghz 

## Launch

- [x] Add README_AR to README.md And #32583
- [x] Enable easy Table of Contents editing #32696

# GET STARTED

 - [x] 🤗 Transformers #33040
- [x]  Quick tour #33069
- [x]  Installation #33041

# TUTORIAL

- [x]  Run inference with pipelines #33065
- [x]  Write portable code with AutoClass #33022
- [x]  Preprocess data #33068
- [x]  Fine-tune a pretrained model #33081
- [x]  Train with a script #33070
- [x]  Set up distributed training with 🤗 Accelerate #33016
- [x]  Load and train adapters with 🤗 PEFT #33051
- [x]  Share your model #33046
- [x]  Agents #33020
- [x]  Generation with LLMs #33044
- [x] Chatting with Transformers #33029

# CONCEPTUAL GUIDES

- [x]  Philosophy #33064
- [x]  Glossary #33038
- [x]  What 🤗 Transformers can do #33073
- [x]  How 🤗 Transformers solve tasks #33074
- [x]  The Transformer model family #33047
- [x]  Summary of the tokenizers #33078
- [x]  Attention #33021
- [x]  Padding and truncation #33050
- [x]  BERTology #33024
- [x]  Perplexity of fixed-length models #33063
- [x]  Pipelines for webserver inference #33066
- [x]  Model training anatomy #33045
- [x] Getting the most out of LLMs #33043


# TASK GUIDES

## NATURAL LANGUAGE PROCESSING
- [ ]  Text classification #35192 
- [ ]  Token classification
- [ ]  Question answering
- [ ]  Causal language modeling
- [ ]  Masked language modeling
- [ ]  Translation
- [ ]  Summarization 
- [ ]  Multiple choice

## AUDIO
- [ ]  Audio classification
- [ ]  Automatic speech recognition

## COMPUTER VISION
- [ ]  Image classification
- [ ]  Image segmentation
- [ ]  Video classification
- [ ]  Object detection
- [ ]  Zero-shot object detection
- [ ]  Zero-shot image classification
- [ ]  Depth estimation
- [ ]  Image-to-Image
- [ ]  Image Feature Extraction
- [ ]  Mask Generation
- [ ]  Keypoint Detection
- [ ]  Knowledge Distillation for Computer Vision

## Multimodal
- [ ]  Image captioning
- [ ]  Document Question Answering
- [ ]  Visual Question Answering
- [ ]  Text to speech
- [ ]  Image-text-to-text
- [ ]  Video-text-to-text

## Generation
- [ ]  Customize the generation strategy
- [ ]  Best Practices for Generation with Cache

## Prompting
- [ ]  Image tasks with IDEFICS
- [ ]  LLM prompting guide

# DEVELOPER GUIDES

- [x]  Use fast tokenizers from 🤗 Tokenizers #33034
- [x]  Run inference with multilingual models #33048
- [x]  Use model-specific APIs #33030
- [x]  Share a custom model #33031
- [x]  Templates for chat models #33026
- [x]  Trainer #33080
- [x]  Run training on Amazon SageMaker #33071
- [x]  Export to ONNX #33072
- [x]  Export to TFLite #33077
- [x]  Export to TorchScript #33079
- [x]  Benchmarks #33023
- [x]  Notebooks with examples #33049
- [x]  Community resources #33027
- [x]  Troubleshoot #33017
- [x]  Interoperability with GGUF files #33037

## PERFORMANCE AND SCALABILITY

- [ ]  Overview

## EFFICIENT TRAINING TECHNIQUES

- [ ]  Training on one GPU
- [ ]  Training on many GPUs 
- [ ]  Training on CPU
- [ ]  Training on many CPUs 
- [ ]  Training on TPUs
- [ ]  Training on TPU with TensorFlow
- [ ]  Training on Specialized Hardware
- [ ]  Custom hardware for training
- [ ]  Hyperparameter Search using Trainer API

## OPTIMIZING INFERENCE

- [ ]  Inference on CPU
- [ ]  Inference on one GPU
- [ ]  Inference on many GPUs
- [ ]  Inference on Specialized Hardware
- [ ]  Instantiating a big model 
- [ ]  Debugging 
- [ ]  XLA Integration for TensorFlow Models 
- [ ]  Optimize inference using torch.compile

# CONTRIBUTE
 
- [ ] How to contribute to transformers?
- [ ]  How to add a model to 🤗 Transformers? 
- [ ]  How to convert a 🤗 Transformers model to TensorFlow? 
- [ ]  How to add a pipeline to 🤗 Transformers? 
- [ ]  Testing 
- [ ]  Checks on a Pull Request