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bert-ancient-base
zhuimengshaonian/bert-ancient-base
bert-ancient-base is a fill-mask model from zhuimengshaonian. Use it when you need the model to fill a missing word. It is set up for transformers.
The model's architecture is the BERT-base. We trained this model in 4 P100 about 7 days. (batch size = 24, steps = 1M)
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Dec 18, 2022
- Updated
- Dec 23, 2022
- SHA
- 5128e39c
Try a prompt
Model card
From the Hugging Face model README
Chinese Ancient BERT Model
Model description
The model's architecture is the BERT-base. We trained this model in 4 P100 about 7 days. (batch size = 24, steps = 1M)
How to use
You can use the model directly with a pipeline for text generation:
>>> from transformers import pipeline
>>> unmasker = pipeline('fill-mask', model='zhuimengshaonian/bert-ancient-base')
>>> unmasker("海阔凭鱼跃，天高[MASK]鸟飞。")
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Languages
- zh
- Created
- Dec 18, 2022
- Updated
- Dec 23, 2022