Instructions to use nboudad/Maghribert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nboudad/Maghribert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nboudad/Maghribert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nboudad/Maghribert") model = AutoModelForMaskedLM.from_pretrained("nboudad/Maghribert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nboudad/Maghribert: direct link, hf CLI and curl.
- Browser
- Download file 2.61 kB
-
https://huggingface.co/nboudad/Maghribert/resolve/main/training_args.bin
- Command line
-
hf download hf://nboudad/Maghribert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nboudad/Maghribert/resolve/main/training_args.bin
2.61 kB
- Xet hash:
- e756c302a21b25087f9a9ca3fe1717e0b6b7673e0be149ab41c215efe099fb81
- Size of remote file:
- 2.61 kB
- SHA256:
- e4a99a45dc344d356f30b097333f16b10e25ac44805ddf860462b436c2af3c4e
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