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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SI2M-Lab/DarijaBERT-mix", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from SI2M-Lab/DarijaBERT-mix: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
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https://huggingface.co/SI2M-Lab/DarijaBERT-mix/resolve/main/README.md
- Command line
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hf download hf://SI2M-Lab/DarijaBERT-mix/README.md
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curl -L -o README.md https://huggingface.co/SI2M-Lab/DarijaBERT-mix/resolve/main/README.md
28 Bytes
metadata
language:
- ar
- ary