Instructions to use asafaya/bert-base-arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asafaya/bert-base-arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="asafaya/bert-base-arabic")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("asafaya/bert-base-arabic") model = AutoModelForMaskedLM.from_pretrained("asafaya/bert-base-arabic") - Inference
- Notebooks
- Google Colab
- Kaggle
Amharic
#3
by BiniyamAjaw - opened
Hey guys, you did a great job in making this one. However I am trying to use bert to train a language model for Amharic too. So I would like to get heads up on how you managed to train it. Like what type of data did you use? Did you use vectorized tokens like as in Word2vec? Bit confused. It is a personal project.
Thanks :P