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 pytorch_model.bin from nboudad/Maghriberta: direct link, hf CLI and curl.
- Browser
- Download file 371 MB
-
https://huggingface.co/nboudad/Maghriberta/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nboudad/Maghriberta/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nboudad/Maghriberta/resolve/main/pytorch_model.bin
371 MB
- Xet hash:
- 307893266bc84bfdd6a2cb72bea37385e182b0782b1b03f88cd8027095aa0d2e
- Size of remote file:
- 371 MB
- SHA256:
- 14b4a4667541d582c90c79dab16f310867e1cc8145be766778d60f2dcf4933e1
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