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")# 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:
- 5373e65eefce1d9d68cef42e186461b45210a8e33e3940a1dc34941eb5a2eb79
- Size of remote file:
- 507 MB
- SHA256:
- 2449d1294cc1be0795c2098871e7ecc473d9dacb7f7d971c1bda76fedd9a7248
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