初始化项目，由ModelHub XC社区提供模型

Model: flax-community/gpt2-medium-persian
Source: Original Platform

README.md

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+---
+language: fa
+tags:
+- text-generation
+widget:
+ - text: "در یک اتفاق شگفت انگیز، پژوهشگران"
+ - text: "گرفتگی بینی در کودکان و به‌خصوص نوزادان باعث می‌شود"
+ - text: "امیدواریم نوروز امسال سالی"
+---
+
+# GPT2 Medium 4 Persian
+> This is part of the
+[Flax/Jax Community Week](https://discuss.huggingface.co/t/pretrain-gpt2-from-scratch-in-persian/7560), organized by [HuggingFace](https://huggingface.co/) and TPU usage sponsored by Google.
+
+
+## Team Members
+- [Mehrdad Farahani](huggingface.co/m3hrdadfi)
+- [Saied Alimoradi](https://discuss.huggingface.co/u/saied)
+- [M. Reza Zerehpoosh](huggingface.co/ironcladgeek)
+- [Hooman Sedghamiz](https://discuss.huggingface.co/u/hooman650)
+- [Mazeyar Moeini Feizabadi](https://discuss.huggingface.co/u/mazy1998)
+
+## Dataset
+We used  [Oscar](https://huggingface.co/datasets/oscar) dataset, which is a huge multilingual corpus obtained by language classification and filtering of the Common Crawl corpus.
+
+## How To Use
+You can use this model directly with a pipeline for text generation.
+
+```python
+from transformers import pipeline, AutoTokenizer, GPT2LMHeadModel
+tokenizer = AutoTokenizer.from_pretrained('flax-community/gpt2-medium-persian')
+model = GPT2LMHeadModel.from_pretrained('flax-community/gpt2-medium-persian')
+generator = pipeline('text-generation', model, tokenizer=tokenizer, config={'max_length':100})
+generated_text = generator('در یک اتفاق شگفت انگیز، پژوهشگران')
+```
+For using Tensorflow import TFGPT2LMHeadModel instead of GPT2LMHeadModel.
+## Demo
+
+... SOON
+
+## Evaluation
+
+... SOON