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If you'd like to share a HFA onnx model here, you can create a post where you briefly introduce your model and provide a download link for the model files along with an appropriate user guide. Typically, you would need to share the following files:
Suggest using UTF-8 encoding compression or using a pure English file name.
readme.md file: Specify the version of the code, supported languages, the dictionary used, and detailed instructions on how to use the model.
hparams.yaml: The hyperparameters saved during the model training, located at training folder: ckpt/xxx/lightning_logs/version_0
dictionary.txt: (optional) If using dictionary g2p, it is better to include a dictionary file
encoder.onnx&model.onnx: The model's onnx file.
data_providers.md: A list of sources for the model training data.
At the same time, please ensure compliance with relevant laws and open-source protocols, confirming your rights to share the model. This means that the model you share should not contain any unauthorized commercial software, data, or other copyrighted content.
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If you'd like to share a HFA onnx model here, you can create a post where you briefly introduce your model and provide a download link for the model files along with an appropriate user guide. Typically, you would need to share the following files:
Suggest using UTF-8 encoding compression or using a pure English file name.
readme.md file: Specify the version of the code, supported languages, the dictionary used, and detailed instructions on how to use the model.
hparams.yaml: The hyperparameters saved during the model training, located at training folder: ckpt/xxx/lightning_logs/version_0
dictionary.txt: (optional) If using dictionary g2p, it is better to include a dictionary file
encoder.onnx&model.onnx: The model's onnx file.
data_providers.md: A list of sources for the model training data.
At the same time, please ensure compliance with relevant laws and open-source protocols, confirming your rights to share the model. This means that the model you share should not contain any unauthorized commercial software, data, or other copyrighted content.
如果你想在此处分享一个HFA onnx模型,你可以创建一个帖子,简单介绍一下你的模型,并提供模型文件的下载链接以及相应的使用指南。通常,你需要分享以下文件:
建议使用utf-8编码压缩,或使用纯英文文件名。
readme.md文件:注明代码的版本、支持的语言、使用的词典、以及模型的使用方法等详细信息
hparams.yaml:模型训练时保存的超参数,通常位于模型训练文件夹:ckpt/xxx/lightning_logs/version_0
dictionary.txt:(可选)如果使用dictionary g2p,最好附带词典文件
encoder.onnx&model.onnx:模型的onnx文件
data_providers.md:列出模型训练数据的来源
同时,请确保遵循相关的法律法规和开源协议,确认你有权分享该模型。这意味着你分享的模型中不得含有任何未经授权的商业软件、数据或其他受版权保护的内容。
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