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")# 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
elmadany commited on
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1a16ab9
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Parent(s): bf419ae
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MARBERT_pytorch_verison.tar.gz
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MARBERT_tensorflow_version.tar.gz
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