Opiniones sobre Introducción a Vertex AI Embeddings: texto y multimodal
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doesn't work /opt/conda/lib/python3.10/site-packages/vertexai/_model_garden/_model_garden_models.py:278: UserWarning: This feature is deprecated as of June 24, 2025 and will be removed on June 24, 2026. For details, see https://cloud.google.com/vertex-ai/generative-ai/docs/deprecations/genai-vertexai-sdk. warning_logs.show_deprecation_warning() --------------------------------------------------------------------------- NotFound Traceback (most recent call last) Cell In[4], line 1 ----> 1 mm_embedding_model = MultiModalEmbeddingModel.from_pretrained("multimodalembedding@001") File /opt/conda/lib/python3.10/site-packages/vertexai/_model_garden/_model_garden_models.py:290, in _ModelGardenModel.from_pretrained(cls, model_name) 279 credential_exception_str = ( 280 "\nUnable to authenticate your request." 281 "\nDepending on your runtime environment, you can complete authentication by:" (...) 286 "\n- if in service account or other: please follow guidance in https://cloud.google.com/docs/authentication" 287 ) 289 try: --> 290 return _from_pretrained(interface_class=cls, model_name=model_name) 291 except auth_exceptions.GoogleAuthError as e: 292 raise auth_exceptions.GoogleAuthError(credential_exception_str) from e File /opt/conda/lib/python3.10/site-packages/vertexai/_model_garden/_model_garden_models.py:207, in _from_pretrained(interface_class, model_name, publisher_model, tuned_vertex_model) 202 if not interface_class._INSTANCE_SCHEMA_URI: 203 raise ValueError( 204 f"Class {interface_class} is not a correct model interface class since it does not have an instance schema URI." 205 ) --> 207 model_info = _get_model_info( 208 model_id=model_name, 209 schema_to_class_map={interface_class._INSTANCE_SCHEMA_URI: interface_class}, 210 ) 212 else: 213 schema_uri = publisher_model._gca_resource.predict_schemata.instance_schema_uri File /opt/conda/lib/python3.10/site-packages/vertexai/_model_garden/_model_garden_models.py:123, in _get_model_info(model_id, schema_to_class_map, interface_class, publisher_model_res, tuned_vertex_model) 119 model_id = "publishers/google/models/" + model_id 121 if not publisher_model_res: 122 publisher_model_res = ( --> 123 _publisher_models._PublisherModel( # pylint: disable=protected-access 124 resource_name=model_id 125 )._gca_resource 126 ) 128 if not publisher_model_res.name.startswith("publishers/google/models/"): 129 raise ValueError( 130 f"Only Google models are currently supported. {publisher_model_res.name}" 131 ) File /opt/conda/lib/python3.10/site-packages/google/cloud/aiplatform/_publisher_models.py:77, in _PublisherModel.__init__(self, resource_name, project, location, credentials) 71 else: 72 raise ValueError( 73 f"`{resource_name}` is not a valid PublisherModel resource " 74 "name or model garden id." 75 ) ---> 77 self._gca_resource = getattr(self.api_client, self._getter_method)( 78 name=full_resource_name, retry=base._DEFAULT_RETRY 79 ) File /opt/conda/lib/python3.10/site-packages/google/cloud/aiplatform_v1/services/model_garden_service/client.py:943, in ModelGardenServiceClient.get_publisher_model(self, request, name, retry, timeout, metadata) 940 self._validate_universe_domain() 942 # Send the request. --> 943 response = rpc( 944 request, 945 retry=retry, 946 timeout=timeout, 947 metadata=metadata, 948 ) 950 # Done; return the response. 951 return response File /opt/conda/lib/python3.10/site-packages/google/api_core/gapic_v1/method.py:131, in _GapicCallable.__call__(self, timeout, retry, compression, *args, **kwargs) 128 if self._compression is not None: 129 kwargs["compression"] = compression --> 131 return wrapped_func(*args, **kwargs) File /opt/conda/lib/python3.10/site-packages/google/api_core/retry/retry_unary.py:294, in Retry.__call__.<locals>.retry_wrapped_func(*args, **kwargs) 290 target = functools.partial(func, *args, **kwargs) 291 sleep_generator = exponential_sleep_generator( 292 self._initial, self._maximum, multiplier=self._multiplier 293 ) --> 294 return retry_target( 295 target, 296 self._predicate, 297 sleep_generator, 298 timeout=self._timeout, 299 on_error=on_error, 300 ) File /opt/conda/lib/python3.10/site-packages/google/api_core/retry/retry_unary.py:156, in retry_target(target, predicate, sleep_generator, timeout, on_error, exception_factory, **kwargs) 152 # pylint: disable=broad-except 153 # This function explicitly must deal with broad exceptions. 154 except Exception as exc: 155 # defer to shared logic for handling errors --> 156 next_sleep = _retry_error_helper( 157 exc, 158 deadline, 159 sleep_iter, 160 error_list, 161 predicate, 162 on_error, 163 exception_factory, 164 timeout, 165 ) 166 # if exception not raised, sleep before next attempt 167 time.sleep(next_sleep) File /opt/conda/lib/python3.10/site-packages/google/api_core/retry/retry_base.py:214, in _retry_error_helper(exc, deadline, sleep_iterator, error_list, predicate_fn, on_error_fn, exc_factory_fn, original_timeout) 208 if not predicate_fn(exc): 209 final_exc, source_exc = exc_factory_fn( 210 error_list, 211 RetryFailureReason.NON_RETRYABLE_ERROR, 212 original_timeout, 213 ) --> 214 raise final_exc from source_exc 215 if on_error_fn is not None: 216 on_error_fn(exc) File /opt/conda/lib/python3.10/site-packages/google/api_core/retry/retry_unary.py:147, in retry_target(target, predicate, sleep_generator, timeout, on_error, exception_factory, **kwargs) 145 while True: 146 try: --> 147 result = target() 148 if inspect.isawaitable(result): 149 warnings.warn(_ASYNC_RETRY_WARNING) File /opt/conda/lib/python3.10/site-packages/google/api_core/grpc_helpers.py:75, in _wrap_unary_errors.<locals>.error_remapped_callable(*args, **kwargs) 72 @functools.wraps(callable_) 73 def error_remapped_callable(*args, **kwargs): 74 try: ---> 75 return callable_(*args, **kwargs) 76 except grpc.RpcError as exc: 77 raise exceptions.from_grpc_error(exc) from exc File /opt/conda/lib/python3.10/site-packages/google/cloud/aiplatform_v1/services/model_garden_service/transports/rest.py:2802, in ModelGardenServiceRestTransport._GetPublisherModel.__call__(self, request, retry, timeout, metadata) 2799 # In case of error, raise the appropriate core_exceptions.GoogleAPICallError exception 2800 # subclass. 2801 if response.status_code >= 400: -> 2802 raise core_exceptions.from_http_response(response) 2804 # Return the response 2805 resp = publisher_model.PublisherModel() NotFound: 404 GET https://aiplatform.googleapis.com/v1/publishers/google/models/multimodalembedding@001?%24alt=json%3Benum-encoding%3Dint: Publisher Model `publishers/google/models/multimodalembedding@001` is not found.
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