Was bert-large-uncased-whole-word-masking-finetuned-squad fine tuned or not.
In the description of repo 'https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad', it states: "After pre-training, this model was fine-tuned on the SQuAD dataset with one of our fine-tuning scripts. See below for more information regarding this fine-tuning."

However I receive error messages when try to load the model using command:
```
model = AutoModelForQuestionAnswering.from_pretrained("bert-large-uncased-whole-word-masking-finetuned-squad")
```
It tells me I should fine tune it. So, should I or shouldn't I??

```
Some weights of BertForQuestionAnswering were not initialized from the model checkpoint at bert-large-uncased-whole-word-masking-finetuned-squad and are newly initialized: ['bert.encoder.layer.0.attention.self.distance_embedding.weight', 'bert.encoder.layer.1.attention.self.distance_embedding.weight', 'bert.encoder.layer.2.attention.self.distance_embedding.weight', 'bert.encoder.layer.3.attention.self.distance_embedding.weight', 'bert.encoder.layer.4.attention.self.distance_embedding.weight', 'bert.encoder.layer.5.attention.self.distance_embedding.weight', 'bert.encoder.layer.6.attention.self.distance_embedding.weight', 'bert.encoder.layer.7.attention.self.distance_embedding.weight', 'bert.encoder.layer.8.attention.self.distance_embedding.weight', 'bert.encoder.layer.9.attention.self.distance_embedding.weight', 'bert.encoder.layer.10.attention.self.distance_embedding.weight', 'bert.encoder.layer.11.attention.self.distance_embedding.weight', 'bert.encoder.layer.12.attention.self.distance_embedding.weight', 'bert.encoder.layer.13.attention.self.distance_embedding.weight', 'bert.encoder.layer.14.attention.self.distance_embedding.weight', 'bert.encoder.layer.15.attention.self.distance_embedding.weight', 'bert.encoder.layer.16.attention.self.distance_embedding.weight', 'bert.encoder.layer.17.attention.self.distance_embedding.weight', 'bert.encoder.layer.18.attention.self.distance_embedding.weight', 'bert.encoder.layer.19.attention.self.distance_embedding.weight', 'bert.encoder.layer.20.attention.self.distance_embedding.weight', 'bert.encoder.layer.21.attention.self.distance_embedding.weight', 'bert.encoder.layer.22.attention.self.distance_embedding.weight', 'bert.encoder.layer.23.attention.self.distance_embedding.weight']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
```
@CaoZhongZ which version are you using? I tried loading this model and it didn't throw any warning. <|||||>Thanks for the hint! Might installed some spurious packages. A clean installation of transformers have no issue.