Instructions to use moha/arabert_c19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moha/arabert_c19 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="moha/arabert_c19")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("moha/arabert_c19") model = AutoModelForMaskedLM.from_pretrained("moha/arabert_c19") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4703896299cd1398c3cb711480c94f72018af2c083f239cb37b638384f57b396
- Size of remote file:
- 541 MB
- SHA256:
- 0a8644fe505585502b443f393efbe1c59e12b0822e8a3fff3a59c3ddaef2bac8
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