Instructions to use nboudad/Maghriberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nboudad/Maghriberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nboudad/Maghriberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nboudad/Maghriberta") model = AutoModelForMaskedLM.from_pretrained("nboudad/Maghriberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nboudad/Maghriberta: direct link, hf CLI and curl.
- Browser
- Download file 2.61 kB
-
https://huggingface.co/nboudad/Maghriberta/resolve/main/training_args.bin
- Command line
-
hf download hf://nboudad/Maghriberta/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nboudad/Maghriberta/resolve/main/training_args.bin
2.61 kB
- Xet hash:
- e36a966751b5aa704041e0f585ec18368d1350b886be9fbc752e580dc42e6173
- Size of remote file:
- 2.61 kB
- SHA256:
- 5ed87489506d336098f6355cd7f0ac2a953fb49c0efc3d623446f9a86c8f69fc
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