Environment info
transformers version: 4.1.1- Platform: Windows-10-10.0.19041-SP0
- Python version: 3.8.3
- PyTorch version (GPU?): 1.7.1+cpu (False)
- Tensorflow version (GPU?): not installed (NA)
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No
Who can help
@LysandreJik I guess, because it's an AutoTokenizer-related issue.
Information
I'm trying to use an implementation of LUKE (paper) (implementation).
The problem arises when using:
The task I am working on is:
I don't think this is relevant.
To reproduce
Steps to reproduce the behavior:
from transformers import AutoTokenizer, AutoModeltokenizer = AutoTokenizer.from_pretrained("nielsr/luke-large")
Running gives the following error:
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
<ipython-input-12-c1614eef2346> in <module>
4
----> 5 luke_tokenizer = AutoTokenizer.from_pretrained("nielsr/luke-large")
6
c:\...\venv\lib\site-packages\transformers\models\auto\tokenization_auto.py in from_pretrained(cls, pretrained_model_name_or_path, *inputs, **kwargs)
343 config = kwargs.pop("config", None)
344 if not isinstance(config, PretrainedConfig):
--> 345 config = AutoConfig.from_pretrained(pretrained_model_name_or_path, **kwargs)
346
347 use_fast = kwargs.pop("use_fast", True)
c:\...\venv\lib\site-packages\transformers\models\auto\configuration_auto.py in from_pretrained(cls, pretrained_model_name_or_path, **kwargs)
350
351 if "model_type" in config_dict:
--> 352 config_class = CONFIG_MAPPING[config_dict["model_type"]]
353 return config_class.from_dict(config_dict, **kwargs)
354 else:
KeyError: 'luke'
Expected behavior
I'm expecting no error to be thrown.
Environment info
transformersversion: 4.1.1Who can help
@LysandreJik I guess, because it's an
AutoTokenizer-related issue.Information
I'm trying to use an implementation of LUKE (paper) (implementation).
The problem arises when using:
The task I am working on is:
I don't think this is relevant.
To reproduce
Steps to reproduce the behavior:
from transformers import AutoTokenizer, AutoModeltokenizer = AutoTokenizer.from_pretrained("nielsr/luke-large")Running gives the following error:
Expected behavior
I'm expecting no error to be thrown.