Instructions to use miugod/mbert_deen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miugod/mbert_deen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="miugod/mbert_deen")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("miugod/mbert_deen") model = AutoModelForMaskedLM.from_pretrained("miugod/mbert_deen") - 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:b5db124afa6a59adcd4d63159dc1812e4ad81a55ca9d8e4dd7bbdfa8b65d29ef
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size 711926124
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