Send feedback
  
   
 
  
    
      tflite_support.task.text.TextEmbedder
     
  
      
     
  
  
  
   
  
    
  
  
    
    
Class that performs dense feature vector extraction on text.
tflite_support . task . text . TextEmbedder ( 
    options :  tflite_support . task . text . TextEmbedderOptions , 
    cpp_embedder :  _CppTextEmbedder 
)  ->  None 
Attributes 
number_of_output_layers 
Gets the number of output layers of the model.
 
 
options 
 
 
Methods 
cosine_similarityView source 
cosine_similarity ( 
    u :  tflite_support . task . processor . FeatureVector , 
    v :  tflite_support . task . processor . FeatureVector )  ->  float 
Computes cosine similarity [1] between two feature vectors.
create_from_fileView source 
@classmethod create_from_file ( 
    file_path :  str 
)  ->  'TextEmbedder' 
Creates the TextEmbedder object from a TensorFlow Lite model.
Args 
file_path
 
Path to the model.
 
 
Returns 
TextEmbedder object that's created from the model file.
 
 
Raises 
ValueError
 
If failed to create TextEmbedder object from the provided
file such as invalid file.
 
 
RuntimeError
 
If other types of error occurred.
 
 
create_from_optionsView source 
@classmethod create_from_options ( 
    options :  tflite_support . task . text . TextEmbedderOptions )  ->  'TextEmbedder' 
Creates the TextEmbedder object from text embedder options.
Args 
options
 
Options for the text embedder task.
 
 
Returns 
TextEmbedder object that's created from options.
 
 
Raises 
ValueError
 
If failed to create TextEmbedder object from
TextEmbedderOptions such as missing the model.
 
 
RuntimeError
 
If other types of error occurred.
 
 
embedView source 
embed ( 
    text :  str 
)  ->  tflite_support . task . processor . EmbeddingResult Performs actual feature vector extraction on the provided text.
Args 
text 
the input text, used to extract the feature vectors.
 
 
Returns 
embedding result.
 
 
Raises 
ValueError
 
If any of the input arguments is invalid.
 
 
RuntimeError
 
If failed to calculate the embedding vector.
 
 
get_embedding_dimensionView source 
get_embedding_dimension ( 
    output_index :  int 
)  ->  int 
Gets the dimensionality of the embedding output.
Args 
output_index
 
The output index of output layer.
 
 
Returns 
Dimensionality of the embedding output by the output_index'th output
layer. Returns -1 if output_index is out of bounds.
 
 
  
  
 
  
    
    
      
    
     
  
       
         
  
  
    
    Send feedback
  
   
 
       
    
    
  
  
 
  Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
  Last updated 2024-05-08 UTC.
 
 
  
  
    
    
    
      
  
  
    Need to tell us more?
  
   
 
     
  
  
    
      [[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-05-08 UTC."],[],[]]