SavedModel file does not exist at:
how to fix this errorfrom huggingface_hub import from_pretrained_keras​model = from_pretrained_keras(“soufyane/gemma_data_science”)​OSError                                   Traceback (most recent call last)Cell In[8], line 31 from huggingface_hub import from_pretrained_keras----> 3 model = from_pretrained_keras(“soufyane/gemma_data_science”)File /opt/conda/lib/python3.10/site-packages/huggingface_hub/keras_mixin.py:296, in from_pretrained_keras(*args, **kwargs)240 def from_pretrained_keras(*args, **kwargs) → “KerasModelHubMixin”:241     r"“”242     Instantiate a pretrained Keras model from a pre-trained model from the Hub.243     The model is expected to be inSavedModelformat.(…)294295     “”"→ 296     return KerasModelHubMixin.from_pretrained(*args, **kwargs)File /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py:119, in validate_REDACTED_TOKEN_args.._inner_fn(*args, **kwargs)116 if check_use_auth_token:117     kwargs = smoothly_deprecate_use_auth_token(fn_name=fn.name, has_token=has_token, kwargs=kwargs)→ 119 return fn(*args, **kwargs)File /opt/conda/lib/python3.10/site-packages/huggingface_hub/hub_mixin.py:420, in ModelHubMixin.from_pretrained(cls, pretrained_model_name_or_path, force_download, resume_download, proxies, token, cache_dir, local_files_only, revision, **model_kwargs)417     if cls._hub_mixin_inject_config:418         model_kwargs[“config”] = config→ 420 instance = cls._from_pretrained(421     model_id=str(model_id),422     revision=revision,423     cache_dir=cache_dir,424     force_download=force_download,425     proxies=proxies,426     resume_download=resume_download,427     local_files_only=local_files_only,428     token=token,429     **model_kwargs,430 )432 # Implicitly set the config as instance attribute if not already set by the class433 # This wayconfigwill be available when callingsave_pretrainedorpush_to_hub.434 if config is not None and (getattr(instance, “_hub_mixin_config”, None) in (None, {})):File /opt/conda/lib/python3.10/site-packages/huggingface_hub/keras_mixin.py:497, in KerasModelHubMixin._from_pretrained(cls, model_id, revision, cache_dir, force_download, proxies, resume_download, local_files_only, token, config, **model_kwargs)494     storage_folder = model_id496 # TODO: change this in a future PR. We are not returning a KerasModelHubMixin instance here…→ 497 model = keras.models.load_model(storage_folder)499 # For now, we add a new attribute, config, to store the config loaded from the hub/a local dir.500 model.config = configFile /opt/conda/lib/python3.10/site-packages/tf_keras/src/saving/saving_api.py:262, in load_model(filepath, custom_objects, compile, safe_mode, **kwargs)254     return saving_lib.load_model(255         filepath,256         custom_objects=custom_objects,257         compile=compile,258         safe_mode=safe_mode,259     )261 # Legacy case.→ 262 return legacy_sm_saving_lib.load_model(263     filepath, custom_objects=custom_objects, compile=compile, **kwargs264 )File /opt/conda/lib/python3.10/site-packages/tf_keras/src/utils/traceback_utils.py:70, in filter_traceback..error_handler(*args, **kwargs)67     filtered_tb = _process_traceback_frames(e.traceback)68     # To get the full stack trace, call:69     #tf.debugging.disable_traceback_filtering()—> 70     raise e.with_traceback(filtered_tb) from None71 finally:72     del filtered_tbFile /opt/conda/lib/python3.10/site-packages/tensorflow/python/saved_model/loader_impl.py:119, in parse_saved_model(export_dir)117     raise IOError(f"Cannot parse file {path_to_pbtxt}: {str(e)}.“) from e118 else:→ 119   raise IOError(120       f"SavedModel file does not exist at: {export_dir}{os.path.sep}”121       f"{{{constants.SAVED_MODEL_FILENAME_PBTXT}|"122       f"{constants.SAVED_MODEL_FILENAME_PB}}}")123 return saved_modelOSError: SavedModel file does not exist at: /root/.cache/huggingface/hub/models–soufyane–gemma_data_science/snapshots/d9d2d8ce54328a7265c51f6a17d22df0880c2e4c/{saved_model.pbtxt|saved_model.pb}