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

2 votes149 views1 answer
Python search for word is in column
Python
4 votes184 views1 answer
Sort dict by value
Python
0 vote161 views1 answer
Python get file path from in os.walk
Python
34 votes153 views4 answers
Reindex pandas dataframe from 0
Python
4 votes156 views2 answers
Timeout socket python
Python
0 vote207 views1 answer
Spacy create tokenizer
Python
2 votes163 views2 answers
Create conda env with specific python version
Python
0 vote137 views1 answer
All python versions
Python
0 vote163 views1 answer
Random module randint
Python
2 votes178 views1 answer
Leanware forums
Python