Fill-Mask
Transformers
PyTorch
TensorFlow
JAX
Arabic
bert
Arabic BERT
MSA
Twitter
Masked Langauge Model
Instructions to use UBC-NLP/MARBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UBC-NLP/MARBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="UBC-NLP/MARBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("UBC-NLP/MARBERT") model = AutoModelForMaskedLM.from_pretrained("UBC-NLP/MARBERT", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from UBC-NLP/MARBERT: direct link, hf CLI and curl.
- Browser
- Download file 881 kB
-
https://huggingface.co/UBC-NLP/MARBERT/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://UBC-NLP/MARBERT@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/UBC-NLP/MARBERT/resolve/refs%2Fpr%2F2/tokenizer.json
881 kB
File too large to display, you can check the raw version instead.