G2PWModel Zh Hans

1
license:mit
by
baicai1145
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OTHER
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Quick Summary

这是 G2PW (Grapheme-to-Phoneme for Word) 模型的重新训练版本，专门针对简体中文进行了优化。 - 纯简体中文数据集：此版本仅使用简体中文数据进行训练，提供更准确的简体中文发音预测 - 更快的推理速度：推荐使用 @baicai-1145/g2pw-torch 进行推理，速度比原版 ON...

Code Examples

模型信息bash
pip install g2pw-torch
模型信息bash
pip install g2pw-torch
模型信息bash
pip install g2pw-torch
模型信息bash
pip install g2pw-torch
模型信息bash
pip install g2pw-torch
模型信息bash
pip install g2pw-torch
模型信息bash
pip install g2pw-torch
模型信息python
from g2pw import G2PWConverter

converter = G2PWConverter(model_dir='baicai1145/G2PWModel_zh-Hans')
result = converter('我今天很开心')
print(result)
模型信息python
from g2pw import G2PWConverter

converter = G2PWConverter(model_dir='baicai1145/G2PWModel_zh-Hans')
result = converter('我今天很开心')
print(result)
模型信息python
from g2pw import G2PWConverter

converter = G2PWConverter(model_dir='baicai1145/G2PWModel_zh-Hans')
result = converter('我今天很开心')
print(result)
模型信息python
from g2pw import G2PWConverter

converter = G2PWConverter(model_dir='baicai1145/G2PWModel_zh-Hans')
result = converter('我今天很开心')
print(result)
模型信息python
from g2pw import G2PWConverter

converter = G2PWConverter(model_dir='baicai1145/G2PWModel_zh-Hans')
result = converter('我今天很开心')
print(result)
模型信息python
from g2pw import G2PWConverter

converter = G2PWConverter(model_dir='baicai1145/G2PWModel_zh-Hans')
result = converter('我今天很开心')
print(result)
模型信息python
from g2pw import G2PWConverter

converter = G2PWConverter(model_dir='baicai1145/G2PWModel_zh-Hans')
result = converter('我今天很开心')
print(result)

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