Instructions to use nboudad/Maghriberta0.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nboudad/Maghriberta0.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nboudad/Maghriberta0.0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nboudad/Maghriberta0.0") model = AutoModelForMaskedLM.from_pretrained("nboudad/Maghriberta0.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nboudad/Maghriberta0.0: direct link, hf CLI and curl.
- Browser
- Download file 370 MB
-
https://huggingface.co/nboudad/Maghriberta0.0/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nboudad/Maghriberta0.0/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nboudad/Maghriberta0.0/resolve/main/pytorch_model.bin
370 MB
- Xet hash:
- 6ce58338014845b956f389746e27777f401892bd6264a3387d99f127a72544ab
- Size of remote file:
- 370 MB
- SHA256:
- 0dc373e8fffaadc41082a556b2a0ac353b299a48f750d56da8d6746b017fdd90
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