Intel

/

zoedepth-nyu-kitti

like 3

Same issue here

KeyError                                  Traceback (most recent call last)
File ~/Desktop/AI_ENV/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:982, in AutoConfig.from_pretrained(cls, pretrained_model_name_or_path, **kwargs)
    981 try:
--> 982     config_class = CONFIG_MAPPING[config_dict["model_type"]]
    983 except KeyError:

File ~/Desktop/AI_ENV/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:684, in _LazyConfigMapping.__getitem__(self, key)
    683 if key not in self._mapping:
--> 684     raise KeyError(key)
    685 value = self._mapping[key]

KeyError: 'zoedepth'

During handling of the above exception, another exception occurred:

ValueError                                Traceback (most recent call last)
Cell In[14], line 6
      3 import requests
      5 # load pipe
----> 6 depth_estimator = pipeline(task="depth-estimation", model="Intel/zoedepth-nyu-kitti")
      8 # load image
      9 url = 'http://images.cocodataset.org/val2017/000000039769.jpg'

File ~/Desktop/AI_ENV/lib/python3.10/site-packages/transformers/pipelines/__init__.py:805, in pipeline(task, model, config, tokenizer, feature_extractor, image_processor, framework, revision, use_fast, token, device, device_map, torch_dtype, trust_remote_code, model_kwargs, pipeline_class, **kwargs)
    802                 adapter_config = json.load(f)
    803                 model = adapter_config["base_model_name_or_path"]
--> 805     config = AutoConfig.from_pretrained(
    806         model, _from_pipeline=task, code_revision=code_revision, **hub_kwargs, **model_kwargs
    807     )
    808     hub_kwargs["_commit_hash"] = config._commit_hash
    810 custom_tasks = {}

File ~/Desktop/AI_ENV/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:984, in AutoConfig.from_pretrained(cls, pretrained_model_name_or_path, **kwargs)
    982         config_class = CONFIG_MAPPING[config_dict["model_type"]]
    983     except KeyError:
--> 984         raise ValueError(
    985             f"The checkpoint you are trying to load has model type `{config_dict['model_type']}` "
    986             "but Transformers does not recognize this architecture. This could be because of an "
    987             "issue with the checkpoint, or because your version of Transformers is out of date."
    988         )
    989     return config_class.from_dict(config_dict, **unused_kwargs)
    990 else:
    991     # Fallback: use pattern matching on the string.
    992     # We go from longer names to shorter names to catch roberta before bert (for instance)

ValueError: The checkpoint you are trying to load has model type `zoedepth` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.

Hi yes I'll merge the ZoeDepth PR soon: https://github.com/huggingface/transformers/pull/30136