Instructions to use akhooli/ModernBERT-ar-base-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akhooli/ModernBERT-ar-base-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="akhooli/ModernBERT-ar-base-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("akhooli/ModernBERT-ar-base-tiny") model = AutoModelForMaskedLM.from_pretrained("akhooli/ModernBERT-ar-base-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from akhooli/ModernBERT-ar-base-tiny: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/akhooli/ModernBERT-ar-base-tiny/resolve/main/training_args.bin
- Command line
-
hf download hf://akhooli/ModernBERT-ar-base-tiny/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/akhooli/ModernBERT-ar-base-tiny/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 023972e4cb8cd76ce0bfa6c073f26c4251e760741dd8bef865c7e54871cf3fb8
- Size of remote file:
- 5.3 kB
- SHA256:
- a31955b812e94b4bd60eb67b986f05a42b7ac5398fef0c185ebd7eb4173056d6
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