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chinese-roberta-wwm-ext
tuhailong/chinese-roberta-wwm-ext
chinese-roberta-wwm-ext is a fill-mask model from tuhailong. Use it when you need the model to fill a missing word. It is set up for transformers.
unsupervise train data is E-commerce dialogue, about 20w sentence pairs. model is chinese-roberta-wwm-ext
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Apr 19, 2022
- SHA
- 1627f4f1
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Datasets
Model card
From the Hugging Face model README
Data
unsupervise train data is E-commerce dialogue, about 20w sentence pairs.
Model
model is chinese-roberta-wwm-ext
Usage
>>> from transformers import AutoTokenizer, AutoModel
>>> model = AutoModel.from_pretrained("tuhailong/chinese-roberta-wwm-ext")
>>> tokenizer = AutoTokenizer.from_pretrained("tuhailong/chinese-roberta-wwm-ext")
>>> sentences_str_list = ["今天天气不错的","天气不错的"]
>>> inputs = tokenizer(sentences_str_list,return_tensors="pt", padding='max_length', truncation=True, max_length=32)
>>> outputs = model(**inputs)
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Languages
- zh
- Created
- Mar 2, 2022
- Updated
- Apr 19, 2022