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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
nhanv commited on
Commit ·
24127f8
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Parent(s): f01d91b
upload pytorch model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:10dc30ad1955a74c43f9b95feee4f45b6ff14e74543d72d1f03b3b54b985f842
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size 498858859
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