Fill-Mask
Transformers
Safetensors
PyTorch
Arabic
bert
arabic
maghrebi-arabic
darija
arabizi
code-switching
algeria
morocco
tunisia
libya
masked-language-modeling
Instructions to use NumidiaNLP/MagharibiBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NumidiaNLP/MagharibiBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NumidiaNLP/MagharibiBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NumidiaNLP/MagharibiBERT") model = AutoModelForMaskedLM.from_pretrained("NumidiaNLP/MagharibiBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from NumidiaNLP/MagharibiBERT: direct link, hf CLI and curl.
- Browser
- Download file 2.69 MB
-
https://huggingface.co/NumidiaNLP/MagharibiBERT/resolve/main/tokenizer.json
- Command line
-
hf download hf://NumidiaNLP/MagharibiBERT/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/NumidiaNLP/MagharibiBERT/resolve/main/tokenizer.json
2.69 MB
File too large to display, you can check the raw version instead.