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on
T4
Running
on
T4
from transformers import PretrainedConfig | |
from omegaconf import OmegaConf | |
class EmageAudioConfig(PretrainedConfig): | |
model_type = "emage_audio" | |
def __init__(self, config_obj=None, **kwargs): | |
if config_obj is not None: | |
cfg_dict = OmegaConf.to_container(config_obj, resolve=True) | |
kwargs.update(cfg_dict) | |
super().__init__(**kwargs) | |
class EmageVQVAEConvConfig(PretrainedConfig): | |
model_type = "emage_vqvaeconv" | |
def __init__(self, config_obj=None, **kwargs): | |
if config_obj is not None: | |
cfg_dict = OmegaConf.to_container(config_obj, resolve=True) | |
kwargs.update(cfg_dict) | |
super().__init__(**kwargs) | |
class EmageVAEConvConfig(PretrainedConfig): | |
model_type = "emage_vaeconv" | |
def __init__(self, config_obj=None, **kwargs): | |
if config_obj is not None: | |
cfg_dict = OmegaConf.to_container(config_obj, resolve=True) | |
kwargs.update(cfg_dict) | |
super().__init__(**kwargs) | |