Instructions to use acul3/Roberta-Large-Indo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acul3/Roberta-Large-Indo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="acul3/Roberta-Large-Indo")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("acul3/Roberta-Large-Indo") model = AutoModelForMaskedLM.from_pretrained("acul3/Roberta-Large-Indo") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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language: id
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tags:
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- indonesian-roberta-large
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license: cc
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datasets:
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- munggok/KoPI
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widget:
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- text: "Budi telat ke sekolah karena ia <mask>."
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---
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Indonesian RoBERTa Large is a masked language model based on the [RoBERTa](https://arxiv.org/abs/1907.11692) model. It was trained on the [KoPI](https://huggingface.co/datasets/munggok/KoPI) dataset.
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