fix loading decoder_with_past

Author: eaidova

optimum/intel/openvino/modeling_base_seq2seq.py

@@ -272,6 +272,7 @@ def _from_pretrained(
                             subfolder=subfolder,
                         )
                         file_names[name] = model_cache_path
+                    decoder_with_past = cls.load_model(file_names["decoder_with_past"], quantization_config)
             else:
                 encoder = cls._compile_model(
                     file_names["encoder"], kwargs.get("device", "CPU"), kwargs.get("ov_config"), model_save_dir
@@ -280,6 +281,20 @@ def _from_pretrained(
                     file_names["decoder"], kwargs.get("device", "CPU"), kwargs.get("ov_config"), model_save_dir
                 )
                 if use_cache and not model_has_state(decoder):
+                    model_file_names["decoder_with_past"] = decoder_with_past_file_name
+                    model_file_names["decoder_with_past_bin"] = decoder_with_past_file_name.replace(".xml", ".bin")
+                    for name in ["decoder_with_past", "decoder_with_past_bin"]:
+                        model_cache_path = hf_hub_download(
+                            repo_id=model_id,
+                            filename=model_file_names[name],
+                            token=token,
+                            revision=revision,
+                            cache_dir=cache_dir,
+                            force_download=force_download,
+                            local_files_only=local_files_only,
+                            subfolder=subfolder,
+                        )
+                        file_names[name] = model_cache_path
                     decoder_with_past = cls._compile_model(
                         file_names["decoder_with_past"],
                         kwargs.get("device", "CPU"),