Instructions to use NlpHUST/roberta-base-vn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NlpHUST/roberta-base-vn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NlpHUST/roberta-base-vn")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NlpHUST/roberta-base-vn") model = AutoModelForMaskedLM.from_pretrained("NlpHUST/roberta-base-vn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5907b164b5475adaf11ecd18a67dbeffcba2a9ec481002b1f42765147e4340b6
- Size of remote file:
- 499 MB
- SHA256:
- cd295ec07344a683bfe6ef85fd848c1b3a5f7fb18d12b6f9473ffb5f7a0da4d5
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