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viRoberta-l6-h384-word-cased
Zayt/viRoberta-l6-h384-word-cased
viRoberta-l6-h384-word-cased is a fill-mask model from Zayt. Use it when you need the model to fill a missing word. It is set up for transformers.
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Nov 10, 2021
- SHA
- aea74285
Try a prompt
Model card
From the Hugging Face model README
More information: github
from underthesea import word_tokenize
from transformers import RobertaTokenizer, RobertaModel
model_name = 'Zayt/viRoberta-l6-h384-word-cased'
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForMaskedLM.from_pretrained(model_name)
text = word_tokenize("Xin chào, tôi không còn là sinh viên đại học Bách Khoa.", format='text')
output = model(**tokenizer(text, return_tensors='pt))
output
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Mar 2, 2022
- Updated
- Nov 10, 2021