Instructions to use Zappandy/mBERT-rom-arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zappandy/mBERT-rom-arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Zappandy/mBERT-rom-arabic")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Zappandy/mBERT-rom-arabic") model = AutoModelForMaskedLM.from_pretrained("Zappandy/mBERT-rom-arabic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c18df1788552a1d47b1dfd7c503987df4358c696486b986d92dde44b571fa806
- Size of remote file:
- 3.52 kB
- SHA256:
- 1859d0fb20eb531703ec85fb735ef3673c38cc698bfb335c19b154794ba2e27f
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