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 vote200 views1 answer
Django model custom field
Python
4 votes171 views1 answer
Check if an application is running python
Python
0 vote198 views1 answer
How to return an html file in flask
Python Flask
0 vote184 views1 answer
Pyqt5 change table widget column width
Python
1 vote176 views1 answer
Shutil move overwrite
Python
1 vote124 views1 answer
Conver all dict keys to str python
Python
0 vote196 views1 answer
How to downgrade python 3.9 to 3.8
Python
0 vote172 views1 answer
Télécharger librairie avec pip
Python
0 vote189 views1 answer
Run multiple function with multiprocessing python
Python
3 votes173 views1 answer
Python convert object into ditct
Python