Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth") model = AutoModelForMaskedLM.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3edc4e409452cc58ca447513cf43b52abda4212c1e2da0725c9285b4a76a70a
- Size of remote file:
- 436 MB
- SHA256:
- 32edfaa7e6db78b1907c7b69062dd56e414c8d2f5a4ed22632a3354893b9b567
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