Accessibility features

CONTRIBUTING.md

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 <p align="center"> 
-<img src="https://raw.githubusercontent.com/huggingface/awesome-huggingface/main/logo.svg?token=AFLYUK4HQBJT734TLKYP2R3A2CKW2" width="100px">
+<img src="https://raw.githubusercontent.com/huggingface/awesome-huggingface/main/logo.svg?token=AFLYUK4HQBJT734TLKYP2R3A2CKW2" width="100px" alt="hugging face logo">
 </p>
 
 # Contributing
 
 ## Selection Criteria
 To add a wonderful repo to this list of HF eco-system, please make sure the repo-to-add satisfies the following conditions:
-- It should be built on, or an extension of 🤗 libraries (transformers, datasets, hub, etc.)
+- It should be built on, or an extension of :hugs: libraries (transformers, datasets, hub, etc.)
 - It should have >100 stars, *or* have been published at a top-tier conference (ACL, EMNLP, NAACL, ICML, NeurIPS, ICLR, etc.) If you are very confident about the quality of the repo, there can be exceptions.
 
 ## How to Contribute

README.md

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 <p align="center"> 
-<img src="https://raw.githubusercontent.com/huggingface/awesome-huggingface/main/logo.svg" width="100px">
+<img src="https://raw.githubusercontent.com/huggingface/awesome-huggingface/main/logo.svg" width="100px" alt="Hugging Face logo">
 </p>
 
 # awesome-huggingface
 This is a list of some wonderful open-source projects & applications integrated with Hugging Face libraries.
 
 [How to contribute](https://github.com/huggingface/awesome-huggingface/blob/main/CONTRIBUTING.md)
 
-## 🤗 Official Libraries
-*First-party cool stuff made with ❤️ by 🤗 Hugging Face.*
+## :hugs: Official Libraries
+*First-party cool stuff made with :heart: by :hugs: Hugging Face.*
 * [transformers](https://github.com/huggingface/transformers) - State-of-the-art natural language processing for Jax, PyTorch and TensorFlow.
 * [datasets](https://github.com/huggingface/datasets) - The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.
 * [tokenizers](https://github.com/huggingface/tokenizers) - Fast state-of-the-Art tokenizers optimized for research and production.
@@ -19,16 +19,16 @@ This is a list of some wonderful open-source projects & applications integrated
 * [huggingface_hub](https://github.com/huggingface/huggingface_hub) - Client library to download and publish models and other files on the huggingface.co hub.
 * [tune](https://github.com/huggingface/tune) - A benchmark for comparing Transformer-based models.
 
-## 👩‍🏫 Tutorials
+## :woman_teacher: Tutorials
 *Learn how to use Hugging Face toolkits, step-by-step.*
-* [Official Course](https://huggingface.co/course) (from Hugging Face) - The official course series provided by 🤗 Hugging Face.
+* [Official Course](https://huggingface.co/course) (from Hugging Face) - The official course series provided by :hugs: Hugging Face.
 * [transformers-tutorials](https://github.com/nielsrogge/transformers-tutorials) (by @nielsrogge) - Tutorials for applying multiple models on real-world datasets.
 
 ## Awesome Collections 
 *As part of Hacktoberfest 2023, we are collecting awesome Collections!*
 * [Awesome Collections page](awesome_collections.md)
 
-## 🧰 NLP Toolkits
+## :toolbox: NLP Toolkits
 *NLP toolkits built upon Transformers. Swiss Army!*
 * [AllenNLP](https://github.com/allenai/allennlp) (from AI2) - An open-source NLP research library.
 * [Graph4NLP](https://github.com/graph4ai/graph4nlp) - Enabling easy use of Graph Neural Networks for NLP.
@@ -38,100 +38,100 @@ This is a list of some wonderful open-source projects & applications integrated
 * [Trapper](https://github.com/obss/trapper) (from OBSS) - State-of-the-art NLP through transformer models in a modular design and consistent APIs.
 
 
-## 🥡 Text Representation
+## :clipboard: Text Representation
 *Converting a sentence to a vector.*
 * [Sentence Transformers](https://github.com/UKPLab/sentence-transformers) (from UKPLab) - Widely used encoders computing dense vector representations for sentences, paragraphs, and images.
 * [WhiteningBERT](https://github.com/Jun-jie-Huang/WhiteningBERT) (from Microsoft) - An easy unsupervised sentence embedding approach with whitening.
 * [SimCSE](https://github.com/princeton-nlp/SimCSE) (from Princeton) - State-of-the-art sentence embedding with contrastive learning.
 * [DensePhrases](https://github.com/princeton-nlp/DensePhrases) (from Princeton) - Learning dense representations of phrases at scale.
 
-## ⚙️ Inference Engines
+## :gear: Inference Engines
 *Highly optimized inference engines implementing Transformers-compatible APIs.*
 
 * [TurboTransformers](https://github.com/Tencent/TurboTransformers) (from Tencent) - An inference engine for transformers with fast C++ API.
 * [FasterTransformer](https://github.com/NVIDIA/FasterTransformer) (from Nvidia) - A script and recipe to run the highly optimized transformer-based encoder and decoder component on NVIDIA GPUs.
 * [lightseq](https://github.com/bytedance/lightseq) (from ByteDance) - A high performance inference library for sequence processing and generation implemented in CUDA.
 * [FastSeq](https://github.com/microsoft/fastseq) (from Microsoft) - Efficient implementation of popular sequence models (e.g., Bart, ProphetNet) for text generation, summarization, translation tasks etc.
 
-## 🌗 Model Scalability
+## :first_quarter_moon: Model Scalability
 *Parallelization models across multiple GPUs.*
 * [Parallelformers](https://github.com/tunib-ai/parallelformers) (from TUNiB) - A library for model parallel deployment.
 * [OSLO](https://github.com/tunib-ai/oslo) (from TUNiB) - A library that supports various features to help you train large-scale models.
 * [Deepspeed](https://github.com/microsoft/DeepSpeed) (from Microsoft) - Deepspeed-ZeRO - scales any model size with zero to no changes to the model. [Integrated with HF Trainer](https://huggingface.co/docs/transformers/master/main_classes/deepspeed).
 * [fairscale](https://github.com/facebookresearch/fairscale) (from Facebook) - Implements ZeRO protocol as well. [Integrated with HF Trainer](https://huggingface.co/docs/transformers/master/main_classes/trainer#fairscale).
 * [ColossalAI](https://github.com/hpcaitech/colossalai) (from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
 
-## 🏎️ Model Compression/Acceleration
+## :car: Model Compression/Acceleration
 *Compressing or accelerate models for improved inference speed.*
 * [torchdistill](https://github.com/yoshitomo-matsubara/torchdistill) - PyTorch-based modular, configuration-driven framework for knowledge distillation.
 * [TextBrewer](https://github.com/airaria/TextBrewer) (from HFL) - State-of-the-art distillation methods to compress language models.
 * [BERT-of-Theseus](https://github.com/JetRunner/BERT-of-Theseus) (from Microsoft) - Compressing BERT by progressively replacing the components of the original BERT.
 
-## 🏹️ Adversarial Attack
+## :bow_and_arrow: Adversarial Attack
 *Conducting adversarial attack to test model robustness.*
 * [TextAttack](https://github.com/QData/TextAttack) (from UVa) -  A Python framework for adversarial attacks, data augmentation, and model training in NLP.
 * [TextFlint](https://github.com/textflint/textflint) (from Fudan) - A unified multilingual robustness evaluation toolkit for NLP.
 * [OpenAttack](https://github.com/thunlp/OpenAttack) (from THU) - An open-source textual adversarial attack toolkit.
 
-## 🔁 Style Transfer
+## :arrows_clockwise: Style Transfer
 *Transfer the style of text! Now you know why it's called transformer?*
 * [Styleformer](https://github.com/PrithivirajDamodaran/Styleformer) - A neural language style transfer framework to transfer text smoothly between styles.
 * [ConSERT](https://github.com/yym6472/ConSERT) - A contrastive framework for self-supervised sentence representation transfer.
 
-## 💢 Sentiment Analysis
+## :boom: Sentiment Analysis
 *Analyzing the sentiment and emotions of human beings.*
 * [conv-emotion](https://github.com/declare-lab/conv-emotion) - Implementation of different architectures for emotion recognition in conversations.
 
-## 🙅 Grammatical Error Correction
+## :teacher: Grammatical Error Correction
 *You made a typo! Let me correct it.*
 * [Gramformer](https://github.com/PrithivirajDamodaran/Gramformer) - A framework for detecting, highlighting and correcting grammatical errors on natural language text.
 
-## 🗺 Translation
+## :earth_asia: Translation
 *Translating between different languages.*
 * [dl-translate](https://github.com/xhlulu/dl-translate) - A deep learning-based translation library based on HF Transformers.
 * [EasyNMT](https://github.com/UKPLab/EasyNMT) (from UKPLab) - Easy-to-use, state-of-the-art translation library and Docker images based on HF Transformers.
 
-## 📖 Knowledge and Entity
+## :book: Knowledge and Entity
 *Learning knowledge, mining entities, connecting the world.*
 * [PURE](https://github.com/princeton-nlp/PURE) (from Princeton) - Entity and relation extraction from text.
 
-## 🎙 Speech
+## :speech_balloon: Speech
 *Speech processing powered by HF libraries. Need for speech!*
 * [s3prl](https://github.com/s3prl/s3prl) - A self-supervised speech pre-training and representation learning toolkit.
 * [speechbrain](https://github.com/speechbrain/speechbrain) - A PyTorch-based speech toolkit.
 
-## 🤯 Multi-modality
+## :exploding_head: Multi-modality
 *Understanding the world from different modalities.*
 * [ViLT](https://github.com/dandelin/ViLT) (from Kakao) - A vision-and-language transformer Without convolution or region supervision.
 
-## 🤖 Reinforcement Learning
+## :robot: Reinforcement Learning
 *Combining RL magic with NLP!*
 * [trl](https://github.com/lvwerra/trl) - Fine-tune transformers using Proximal Policy Optimization (PPO) to align with human preferences.
 
-## ❓ Question Answering
+## :question: Question Answering
 *Searching for answers? Transformers to the rescue!*
 * [Haystack](https://haystack.deepset.ai/) (from deepset) - End-to-end framework for developing and deploying question-answering systems in the wild.
 
-## 💁 Recommender Systems
+## :information_desk_person: Recommender Systems
 *I think this is just right for you!*
 * [Transformers4Rec](https://github.com/NVIDIA-Merlin/Transformers4Rec) (from Nvidia) - A flexible and efficient library powered by Transformers for sequential and session-based recommendations.
 
-## ⚖️ Evaluation
+## :balance_scale: Evaluation
 *Evaluating NLP outputs powered by HF datasets!*
 
 * [Jury](https://github.com/obss/jury) (from OBSS) - Easy to use tool for evaluating NLP model outputs, spesifically for NLG (Natural Language Generation), offering various automated text-to-text metrics.
 
-## 🔍 Neural Search
+## :mag: Neural Search
 *Search, but with the power of neural networks!*
 * [Jina Integration](https://github.com/jina-ai/jina-hub/tree/master/encoders/nlp/TransformerTorchEncoder) - Jina integration of Hugging Face Accelerated API.
 * Weaviate Integration [(text2vec)](https://www.semi.technology/developers/weaviate/current/modules/text2vec-transformers.html) [(QA)](https://www.semi.technology/developers/weaviate/current/modules/qna-transformers.html) - Weaviate integration of Hugging Face Transformers.
 * [ColBERT](https://github.com/stanford-futuredata/ColBERT) (from Stanford) - A fast and accurate retrieval model, enabling scalable BERT-based search over large text collections in tens of milliseconds.
 
-## ☁ Cloud
+## :cloud: Cloud
 *Cloud makes your life easy!*
 * [Amazon SageMaker](https://huggingface.co/transformers/sagemaker.html) - Making it easier than ever to train Hugging Face Transformer models in Amazon SageMaker.
 
-## 📱 Hardware
+## :floppy_disk: Hardware
 *The infrastructure enabling the magic to happen.*
 * [Qualcomm](https://www.qualcomm.com/news/onq/2020/12/02/exploring-ai-capabilities-qualcomm-snapdragon-888-mobile-platform) - Collaboration on enabling Transformers in Snapdragon.
 * [Intel](https://github.com/huggingface/tune) - Collaboration with Intel for configuration options.