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
Download tokenizer.json from SI2M-Lab/DarijaBERT-mix: direct link, hf CLI and curl.
- Browser
- Download file 4.19 MB
-
https://huggingface.co/SI2M-Lab/DarijaBERT-mix/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://SI2M-Lab/DarijaBERT-mix@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/SI2M-Lab/DarijaBERT-mix/resolve/refs%2Fpr%2F2/tokenizer.json
4.19 MB
File too large to display, you can check the raw version instead.