Instructions to use cahya/bert-base-indonesian-522M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cahya/bert-base-indonesian-522M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cahya/bert-base-indonesian-522M")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cahya/bert-base-indonesian-522M") model = AutoModelForMaskedLM.from_pretrained("cahya/bert-base-indonesian-522M") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): bc779f9
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e2b3dc00e56b4aa04280bb6ed6cce99edf6e9c8c69a4a5765bbe337ecc6be72
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size 442610787
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