Search
 
SCRIPT & CODE EXAMPLE
 

PYTHON

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)
Comment

PREVIOUS NEXT
Code Example
Python :: color python 
Python :: reportlab python draw line 
Python :: strip all elements in list python 
Python :: python 3 replace all whitespace characters 
Python :: separate a string in python 
Python :: how to edit messages in discord . py 
Python :: python sum array 
Python :: how to make a list using lambda function in python 
Python :: python convert from float to decimal 
Python :: python count code, Count number of occurrences of a given substring 
Python :: python float print 2 digits 
Python :: click ok on alert box selenium webdriver python 
Python :: python generate public private key pair 
Python :: from django.contrib import messages 
Python :: Adding function to a varieble in python 
Python :: pyspark group by and average in dataframes 
Python :: How to store password in hashlib in python 
Python :: how to split a string by character in python 
Python :: name of columns pandas 
Python :: qtablewidget not editable python 
Python :: schedule computer shutdown python 
Python :: pandas look for values in column with condition 
Python :: remove tuple from list python 
Python :: python replace all in list 
Python :: 3 dimensional array numpy 
Python :: norm in python 
Python :: convert matplotlib figure to cv2 image 
Python :: python namespace packages 
Python :: pandas check if column is sorted 
Python :: python insert sorted list 
ADD CONTENT
Topic
Content
Source link
Name
1+6 =