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Official example not working, are you serious?

See original GitHub issue

Environment info

transformers version: 4.10.0
Platform: Ubuntu 18.04
Python version:
PyTorch version (GPU?): 1.9 GPU
Tensorflow version (GPU?): 2.4.0 GPU
Using GPU in script?: Yes
Using distributed or parallel set-up in script?:

Who can help

Information

@LysandreJik

Model I am using Bert, official code not working 😦

from transformers import BertTokenizer, BertModel
tokenizer = BertTokenizer.from_pretrained('bert-base-cased')
model = BertModel.from_pretrained("bert-base-cased")
text = "Replace me by any text you'd like."
encoded_input = tokenizer(text, return_tensors='tf')
output = model(encoded_input)

https://huggingface.co/bert-base-cased to above code. https://huggingface.co/bert-base-cased

Exception:

Traceback (most recent call last):
  File "/home/zhangguanqun/venv_tf_2.4/lib/python3.6/site-packages/transformers/tokenization_utils_base.py", line 248, in __getattr__
    return self.data[item]
KeyError: 'size'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/zhangguanqun/projects/huggingface/bert.py", line 15, in <module>
    output = model(encoded_input)
  File "/home/zhangguanqun/venv_tf_2.4/lib/python3.6/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl
    return forward_call(*input, **kwargs)
  File "/home/zhangguanqun/venv_tf_2.4/lib/python3.6/site-packages/transformers/models/bert/modeling_bert.py", line 938, in forward
    input_shape = input_ids.size()
  File "/home/zhangguanqun/venv_tf_2.4/lib/python3.6/site-packages/transformers/tokenization_utils_base.py", line 250, in __getattr__
    raise AttributeError
AttributeError

Process finished with exit code 1

What’s wrong with that?

Issue Analytics

State:
Created 2 years ago
Comments:8 (5 by maintainers)

Top GitHub Comments

2reactions

thomwolfcommented, Sep 6, 2021

a lot more serious now indeed!

1reaction

Doragdcommented, Sep 6, 2021

from transformers import XLMProphetNetTokenizer, XLMProphetNetForConditionalGeneration, ProphetNetConfig

# should be just XLMProphetNetForConditionalGeneration & XLMProphetNetTokenizer
model = ProphetNetForConditionalGeneration.from_pretrained('microsoft/xprophetnet-large-wiki100-cased-xglue-ntg')
tokenizer = ProphetNetTokenizer.from_pretrained('microsoft/xprophetnet-large-wiki100-cased-xglue-ntg')
...

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