Instructions to use KoichiYasuoka/roberta-base-vietnamese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoichiYasuoka/roberta-base-vietnamese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KoichiYasuoka/roberta-base-vietnamese")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-base-vietnamese") model = AutoModelForMaskedLM.from_pretrained("KoichiYasuoka/roberta-base-vietnamese") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c79d33acc991aff1f2a3321576c6724840751dd0e89fa3e6dafc67fa84cfb3f6
- Size of remote file:
- 443 MB
- SHA256:
- 9eda73204b75d9a05fe9e3d2f4ef473986df523c2d259a01795dab1e52616061
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