readme: ---
  language: sw
  widget:
  - text: "Ninitaka kukula"
  datasets:
  - flax-community/swahili-safi
  ---
  
  ## GPT2 in Swahili
  
  This model was trained using HuggingFace's Flax framework and is part of the [JAX/Flax Community Week](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104) organized by [HuggingFace](https://huggingface.co). All training was done on a TPUv3-8 VM sponsored by the Google Cloud team.
  
  ## How to use
  
  ```python
  from transformers import AutoTokenizer, AutoModelWithLMHead
    
  tokenizer = AutoTokenizer.from_pretrained("flax-community/gpt2-swahili")
  
  model = AutoModelWithLMHead.from_pretrained("flax-community/gpt2-swahili")
  
  print(round((model.num_parameters())/(1000*1000)),"Million Parameters")
  
  124 Million Parameters
  ```
  
  #### **Training Data**:
  This model was trained on [Swahili Safi](https://huggingface.co/datasets/flax-community/swahili-safi)
  
  
  #### **More Details**:
  For more details and Demo please check [HF Swahili Space](https://huggingface.co/spaces/flax-community/Swahili)
  
  