Instructions to use SI2M-Lab/DarijaBERT-mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SI2M-Lab/DarijaBERT-mix with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SI2M-Lab/DarijaBERT-mix", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Create README.md
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by Rushdy - opened
README.md
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---
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license: bigscience-openrail-m
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datasets:
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- dell-research-harvard/AmericanStories
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language:
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- ar
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metrics:
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- character
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library_name: espnet
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pipeline_tag: audio-to-audio
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tags:
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- music
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---
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