Instructions to use SI2M-Lab/DarijaBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SI2M-Lab/DarijaBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SI2M-Lab/DarijaBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SI2M-Lab/DarijaBERT") model = AutoModelForMaskedLM.from_pretrained("SI2M-Lab/DarijaBERT") - Inference
- Notebooks
- Google Colab
- Kaggle
Request: DOI
#2
by banouz - opened
For scientific research citations
Hi,
Thanks for your request.
The work is still in the preprint stage :
https://doi.org/10.21203/rs.3.rs-2560653/v1
Best regards.
Kamel changed discussion status to closed