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 vote227 views1 answer
Pil image resize not working
Python
0 vote326 views1 answer
Drf not getting form
Python
12 votes239 views6 answers
Remove rows from dataframe
Python
1 vote256 views1 answer
Iterate over dictionary django
Python Django
0 vote238 views1 answer
How to add column to heroku postgres in my django app
Python
0 vote262 views1 answer
Packing and unpacking in python
Python
0 vote246 views1 answer
Downloading datasets from ml.org repository
Python
0 vote272 views1 answer
Py if else if
Python
1 vote264 views1 answer
Xlabel seaborn
Python
43 votes246 views2 answers
For loop in df rows
Python