readme: ---
  language: fr
  license: mit
  tags:
  - causal-lm
  - fr 
  datasets:
  - gustavecortal/fr_covid_news
  ---
  
  ### GPT-J COVID-19 French News with 8-bit weights
  
  
  This is a version of Cedille's GPT-J ([fr-boris](https://huggingface.co/gustavecortal/fr-boris-8bit)) with 6 billion parameters fine-tuned on [COVID-19 French News dataset](https://huggingface.co/datasets/gustavecortal/fr_covid_news) to generate French headlines related to COVID-19. 
  
  You can generate the model in colab or equivalent desktop gpu (e.g. single 1080Ti) as the model has 8-bit weights. Inspired by [GPT-J 8bit](https://huggingface.co/hivemind/gpt-j-6B-8bit). 
  
  Here's how to run it: [![colab](https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667)](https://colab.research.google.com/drive/1lMja-CPc0vm5_-gXNXAWU-9c0nom7vZ9)
  
  This model can be easily loaded using the `GPTJForCausalLM` functionality:
  ```python
  from transformers import GPTJForCausalLM
  model = GPTJForCausalLM.from_pretrained("gustavecortal/gpt-j-fr-covid-news")
  ```
  
  Remember, you have to Monkey-Patch the model before loading it (see Colab above).
  
  ## One thousand AI-generated French headlines related to COVID-19
  
  How not to be disoriented in a pandemic era when faced with an immense flow of information? [This page](https://gustavecortal.com/project/covid) features one thousand AI-generated French headlines related to COVID-19.
  
  ## fr-boris
  
  Boris is a 6B parameter autoregressive language model based on the GPT-J architecture and trained using the [mesh-transformer-jax](https://github.com/kingoflolz/mesh-transformer-jax) codebase.
  
  Boris was trained on around 78B tokens of French text from the [C4](https://huggingface.co/datasets/c4) dataset.
  
  ## Links
  
  * [Gustave Cortal](https://twitter.com/gustavecortal)