Instructions to use w11wo/indo-roberta-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use w11wo/indo-roberta-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="w11wo/indo-roberta-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("w11wo/indo-roberta-small") model = AutoModelForMaskedLM.from_pretrained("w11wo/indo-roberta-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d481cf81b337aa505b3087888ce8b1c2918961fa10d73057ad94278c150853e
- Size of remote file:
- 334 MB
- SHA256:
- 704b241b1ae5600321065ec6609fa9bda54c8f8b1d10425330968013434410cf
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