def load_model(device, model_path, use_half):
model = DeepSpeech.load_model(hydra.utils.to_absolute_path(model_path))
model.eval()
model = model.to(device)
if use_half:
model = model.half()
return model
def load_model(device, model_path, use_half):
model = DeepSpeech.load_model(model_path)
model.eval()
model = model.to(device)
if use_half:
model = model.half()
return model