Instructions to use indolem/indobert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use indolem/indobert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="indolem/indobert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("indolem/indobert-base-uncased") model = AutoModelForMaskedLM.from_pretrained("indolem/indobert-base-uncased") - Notebooks
- Google Colab
- Kaggle
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- indobert
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- indolem
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license: mit
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datasets:
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- 220M words (IndoWiki, IndoWC, News)]
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- indobert
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- indolem
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license: mit
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inference: False
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datasets:
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- 220M words (IndoWiki, IndoWC, News)]
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