hparams = Model.load_hparams(dir_model)
with torch.inference_mode():
- model_class = Model.from_model_architecture(hparams["architectures"][0])
+ try:
+ model_class = Model.from_model_architecture(hparams["architectures"][0])
+ except NotImplementedError:
+ logger.error(f"Model {hparams['architectures'][0]} is not supported")
+ sys.exit(1)
+
model_instance = model_class(dir_model, ftype_map[args.outtype], fname_out, args.bigendian, args.use_temp_file, args.no_lazy)
logger.info("Set model parameters")