Hi,
When first I did
from transformers import BertModel
model = BertModel.from_pretrained('bert-base-cased')

Then it’s fine.
But after doing the above, when I do:
from transformers import BertForSequenceClassification
m = BertForSequenceClassification.from_pretrained('bert-base-cased')

I get warning messages:
Some weights of the model checkpoint at bert-base-cased were not used when 
initializing BertForSequenceClassification: ['cls.predictions.bias', 
'cls.predictions.transform.dense.weight', 'cls.predictions.transform.dense.bias', 
'cls.predictions.decoder.weight', 'cls.seq_relationship.weight', 'cls.seq_relationship.bias', 
'cls.predictions.transform.LayerNorm.weight', 'cls.predictions.transform.LayerNorm.bias']

- This IS expected if you are initializing BertForSequenceClassification from the 
checkpoint of a model trained on another task or with another architecture (e.g. 
initializing a BertForSequenceClassification model from a BertForPreTraining model).

Some weights of BertForSequenceClassification were not initialized from the model 
checkpoint at bert-base-cased and are newly initialized: ['classifier.weight', 
'classifier.bias']

There is another topic regarding the same issue in the forum here 2.
What I have understood is that, due to the first code which I ran, the weights of the pre-trained bare   bert-base-cased model got downloaded, and when I ran the second code for sequence classification, the weights regarding the sequence classification didn’t get downloaded because it is grabbing its checkpoint from the first code which I ran.
The same is also given in the last paragraph of the warning message.
So, what’s the solution to download the pre-trained weights for sequence classification tasks or in general other tasks?
Thanks.