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 training_args.bin from nboudad/Maghriberta0.0: direct link, hf CLI and curl.
- Browser
- Download file 2.61 kB
-
https://huggingface.co/nboudad/Maghriberta0.0/resolve/main/training_args.bin
- Command line
-
hf download hf://nboudad/Maghriberta0.0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nboudad/Maghriberta0.0/resolve/main/training_args.bin
2.61 kB
- Xet hash:
- f7ffd7ccb9c1580802cec7683ffb3837f43d92fdbf2746a7d273a1db05fad967
- Size of remote file:
- 2.61 kB
- SHA256:
- b9ccc802c4bbdfa414f3c4d2948fdbb71df69557918e627e37bccedd4bde6591
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