Instructions to use aubmindlab/bert-base-arabert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aubmindlab/bert-base-arabert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aubmindlab/bert-base-arabert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aubmindlab/bert-base-arabert") model = AutoModelForMaskedLM.from_pretrained("aubmindlab/bert-base-arabert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from aubmindlab/bert-base-arabert: direct link, hf CLI and curl.
- Browser
- Download file 543 MB
-
https://huggingface.co/aubmindlab/bert-base-arabert/resolve/main/model.safetensors
- Command line
-
hf download hf://aubmindlab/bert-base-arabert/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/aubmindlab/bert-base-arabert/resolve/main/model.safetensors
543 MB
- Xet hash:
- c2614de30473169d96026919f5782377c4b1c2cfcf8c083e220495f988946268
- Size of remote file:
- 543 MB
- SHA256:
- 2bbb1ba45919b5cf2fc1be8618d2607687663f2673306929f5b8503cebf21d6d
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