# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("NlpHUST/roberta-base-vn")
model = AutoModelForMaskedLM.from_pretrained("NlpHUST/roberta-base-vn")Quick Links
NlpHUST/roberta-base-vn
Model description
This is a Vietnamese RoBERTa base model pretrained on Vietnamese Oscar dataset.
How to use
You can use this model for masked language modeling as follows:
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("NlpHUST/roberta-base-vn")
model = AutoModelForMaskedLM.from_pretrained("NlpHUST/roberta-base-vn")
You can fine-tune this model on downstream tasks.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NlpHUST/roberta-base-vn")