Instructions to use Zappandy/mBERT-rom-arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zappandy/mBERT-rom-arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Zappandy/mBERT-rom-arabic")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Zappandy/mBERT-rom-arabic") model = AutoModelForMaskedLM.from_pretrained("Zappandy/mBERT-rom-arabic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec926e3eb99b5cc7a3b0671bd8b2a28936cedd4fa075333e9b665f8e4451474a
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size 711926124
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