Instructions to use Rohan-Kurdekar/Arabic_Bert_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rohan-Kurdekar/Arabic_Bert_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Rohan-Kurdekar/Arabic_Bert_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Rohan-Kurdekar/Arabic_Bert_Model") model = AutoModelForMaskedLM.from_pretrained("Rohan-Kurdekar/Arabic_Bert_Model") - Notebooks
- Google Colab
- Kaggle
Commit ·
3a8bd1f
1
Parent(s): 9dc9bde
From Google Colab
Browse files- config.json +1 -0
- tf_model.h5 +3 -0
config.json
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{
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"architectures": [
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"RobertaForMaskedLM"
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],
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{
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"_name_or_path": "/content/Arabic_Bert_Model",
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"architectures": [
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"RobertaForMaskedLM"
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],
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:ab6e39842c7fb6e509b4f6a42610d8157b3b7a99bca25e695b25626d0186ef6d
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size 495505208
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