Download funasr/bin/export.py from ml-resources/FunASR-bmodel: direct link, hf CLI and curl.
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- Download file 1.11 kB
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https://huggingface.co/ml-resources/FunASR-bmodel/resolve/main/funasr/bin/export.py
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hf download hf://ml-resources/FunASR-bmodel/funasr/bin/export.py
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curl -L -o export.py https://huggingface.co/ml-resources/FunASR-bmodel/resolve/main/funasr/bin/export.py
1.11 kB
| import os | |
| import hydra | |
| import logging | |
| from omegaconf import DictConfig, OmegaConf, ListConfig | |
| from funasr.auto.auto_model import AutoModel | |
| def main_hydra(cfg: DictConfig): | |
| def to_plain_list(cfg_item): | |
| if isinstance(cfg_item, ListConfig): | |
| return OmegaConf.to_container(cfg_item, resolve=True) | |
| elif isinstance(cfg_item, DictConfig): | |
| return {k: to_plain_list(v) for k, v in cfg_item.items()} | |
| else: | |
| return cfg_item | |
| kwargs = to_plain_list(cfg) | |
| if kwargs.get("debug", False): | |
| import pdb | |
| pdb.set_trace() | |
| if "device" not in kwargs: | |
| kwargs["device"] = "cpu" | |
| model = AutoModel(**kwargs) | |
| res = model.export( | |
| input=kwargs.get("input", None), | |
| type=kwargs.get("type", "onnx"), | |
| quantize=kwargs.get("quantize", False), | |
| fallback_num=kwargs.get("fallback-num", 5), | |
| calib_num=kwargs.get("calib_num", 100), | |
| opset_version=kwargs.get("opset_version", 14), | |
| ) | |
| print(res) | |
| if __name__ == "__main__": | |
| main_hydra() | |