readme: ---
  language: fr
  pipeline_tag: fill-mask
  license: cc-by-sa-4.0
  tags:
  - legal
  widget:
  - text: "Chaque commune de la Région peut adopter un <mask> communal de développement, applicable à l'ensemble de son territoire."
  ---
  
  # Legal-CamemBERT
  
  * Legal-DistilCamemBERT is a [DistilCamemBERT](https://huggingface.co/cmarkea/distilcamembert-base)-based model further pre-trained on [23,000+ statutory articles](https://huggingface.co/datasets/maastrichtlawtech/bsard) from the Belgian legislation.
  * We chose the following training set-up: 50k training steps (200 epochs) with batches of 32 sequences of length 512 with an initial learning rate of 5e-5.
  * Training was performed on one Tesla V100 GPU with 32 GB using the [code](https://github.com/huggingface/transformers/blob/main/examples/pytorch/language-modeling/run_mlm.py) provided by Hugging Face.
  
  ---
  
  ### Load Pretrained Model
  
  ```python
  from transformers import AutoTokenizer, AutoModel
  
  tokenizer = AutoTokenizer.from_pretrained("maastrichtlawtech/legal-distilcamembert")
  model = AutoModel.from_pretrained("maastrichtlawtech/legal-distilcamembert")
  ```
  
  ### About Us
  
  The [Maastricht Law & Tech Lab](https://www.maastrichtuniversity.nl/about-um/faculties/law/research/law-and-tech-lab) develops algorithms, models, and systems that allow computers to process natural language texts from the legal domain.
  
  Author: [Antoine Louis](https://antoinelouis.co) on behalf of the [Maastricht Law & Tech Lab](https://www.maastrichtuniversity.nl/about-um/faculties/law/research/law-and-tech-lab).