Instructions to use cahya/roberta-base-indonesian-522M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cahya/roberta-base-indonesian-522M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cahya/roberta-base-indonesian-522M", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cahya/roberta-base-indonesian-522M") model = AutoModelForMaskedLM.from_pretrained("cahya/roberta-base-indonesian-522M", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20e6179d0b9367a8df1b64339cb9d9660565d8be2306504a21020c88f9cdaee5
- Size of remote file:
- 504 MB
- SHA256:
- 587d2ed9997e6360e7871d1dbf93032d6077e5cee4ff3c54f3434500764e9f23
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