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 votes110 views1 answer
Color to black and white cv2
Python
0 vote120 views1 answer
Python loop over s3 objects]
Python
12 votes116 views2 answers
Isinstance float or int
Python
2 votes115 views2 answers
Django request.data
Python
2 votes72 views1 answer
Get random value from set python
Python
14 votes114 views3 answers
Exit python terminal
Python
0 vote107 views1 answer
Random sample with weights python
Python
-1 vote112 views1 answer
Python how to import a module given a stringg
Python
28 votes113 views3 answers
Round down a number python
Python
16 votes120 views3 answers
Pandas open text file
Python