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")# 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") - Inference
- Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -0
config.json
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"architectures": [
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"BertModel"
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],
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"num_hidden_layers": 12,
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"max_position_embeddings": 512,
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"type_vocab_size": 2,
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"architectures": [
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"BertModel"
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],
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"model_type" : "bert",
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"num_hidden_layers": 12,
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"max_position_embeddings": 512,
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"type_vocab_size": 2,
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