Fill-Mask
Transformers
PyTorch
luke
named entity recognition
relation classification
question answering
Instructions to use studio-ousia/mluke-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use studio-ousia/mluke-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="studio-ousia/mluke-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("studio-ousia/mluke-base") model = AutoModelForMaskedLM.from_pretrained("studio-ousia/mluke-base") - Notebooks
- Google Colab
- Kaggle
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thumbnail: https://github.com/studio-ousia/luke/raw/master/resources/luke_logo.png
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tags:
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- luke
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- multilingual
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- ar
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thumbnail: https://github.com/studio-ousia/luke/raw/master/resources/luke_logo.png
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tags:
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- luke
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