Hezar (meaning thousand in Persian) is a multipurpose AI library built to make AI easy for the Persian community! Hezar is a library that: brings together all the best works in AI for Persian makes using AI models as easy as a couple of lines of code seamlessly integrates with Hugging Face Hub for all of its models

Recent Activity arxyzan new activity 21 days ago hezarai/trocr-base-fa-v1: How to finetune the model arxyzan updated a dataset 26 days ago hezarai/persian-license-plate-v1 arxyzan updated a model about 2 months ago hezarai/CRAFT View all activityNLP, Computer Vision, Speech

2024年11月19日 · Hezar's primary focus is on providing ready to use models (implementations & pretrained weights) for different casual tasks not by reinventing the wheel, but by being built on top of PyTorch, 🤗 Transformers, 🤗 Tokenizers, 🤗 Datasets, Scikit-learn, Gensim, etc.

Welcome to Hezar’s documentation! ¶ Welcome to Hezar official documentation! Here you can find every piece of info about all the aspects in Hezar. Navigate to the desired section using this table of contents:

Overview ¶ Welcome to Hezar! A library that makes state-of-the-art machine learning as easy as possible aimed for the Persian language, built by the Persian community! In Hezar, the primary goal is to provide plug-and-play AI/ML utilities so that you don’t need to know much about what’s going on under the hood.

Models ¶ In Hezar, models are the typical PyTorch modules with some extra features for loading, saving, exporting, etc. Let’s dive into some of the most important ones! Models Basics ¶ Building Models ¶ Like any other package, you can import any model from hezar.models that you want.

2024年9月8日 · 开发者可以将自己的模型或工具贡献给项目，或者基于Hezar构建特定的应用程序，提升波斯语环境下的人工智能服务质量。

Hezar's primary focus is on providing ready to use models (implementations & pretrained weights) for different casual tasks not by reinventing the wheel, but by being built on top of PyTorch, 🤗 Transformers, 🤗 Tokenizers, 🤗 Datasets, Scikit-learn, Gensim, etc.

目录结构介绍 hezar/: 项目的主目录，包含了所有的核心代码。 models/: 存放各种模型的实现，包括 BERT、DistilBERT、GPT-2、T5 等。 preprocessors/: 存放预处理工具，如分词器（tokenizers）。 metrics/: 存放各种评估指标的实现，如准确率、BLEU、CER 等。

Hezar (meaning thousand in Persian) is a multipurpose AI library built to make AI easy for the Persian community! Hezar is a library that: brings together all the best works in AI for Persian makes using AI models as easy as a couple of lines of code seamlessly integrates with Hugging Face Hub for all of its models