Instructions to use T0KII/MASRIBERTv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use T0KII/MASRIBERTv3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="T0KII/MASRIBERTv3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("T0KII/MASRIBERTv3") model = AutoModelForMaskedLM.from_pretrained("T0KII/MASRIBERTv3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0977ab3755e3af7356d9f70cbdb99d17503a7da2fddb0b78a9a0ad54739d0ba4
- Size of remote file:
- 5.2 kB
- SHA256:
- f4478079406071dc7bc24d84642bd8cb1c488c18d5cfd9fdaa7530da9212fd55
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