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:
- 80de103dc2e880ad4da90c2dd350883dbca6c0526d9b5d6665758e13ee3d6e34
- Size of remote file:
- 5.2 kB
- SHA256:
- 780132c7fb33034f8df443ac694ea3430ce9a956a5f7e6a33b128024084da4b3
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