readme: ---
  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