Tensorflow Bert implementation

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

Source: huggingface.co

Similar codes

0 vote277 views1 answer
Python print font size
Python
1 vote267 views1 answer
Reading the data
Python
6 votes272 views2 answers
Sleep your computer python
Python
13 votes247 views4 answers
Pandas list to df
Python
0 vote248 views1 answer
Pip ne marche pas
Python
9 votes241 views1 answer
Comment out a block in python
Python
10 votes256 views2 answers
Django delete object
Python
0 vote228 views2 answers
[1, 2, 3]
Python
0 vote244 views1 answer
Python instagram bot
Python
37 votes241 views6 answers
If __name__ == '__main__' in python
Python