Instructions to use w11wo/javanese-roberta-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use w11wo/javanese-roberta-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="w11wo/javanese-roberta-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("w11wo/javanese-roberta-small") model = AutoModelForMaskedLM.from_pretrained("w11wo/javanese-roberta-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b22a1aadaff137304c45c48e5aab961a39c9251ab4e87d2ad9e329138d56a7a0
- Size of remote file:
- 499 MB
- SHA256:
- 239351954a9c92e5a1b02b0c3e010bac3971259d674017305430e88cc2e97912
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