README.md

Examples

Notebooks

colab/wav2vec2_saved_model_finetuning.ipynb

Shows how to fine-tune Wav2Vec2 SavedModel with a language modeling head for Automatic Speech Recognition

colab/text_classification_with_tf_hub_on_kaggle.ipynb

Shows how to solve a problem on Kaggle with TF-Hub.

colab/semantic_similarity_with_tf_hub_universal_encoder.ipynb

Explores text semantic similarity with the Universal Encoder Module.

colab/tf_hub_generative_image_module.ipynb

Explores a generative image module.

colab/action_recognition_with_tf_hub.ipynb

Explores action recognition from video.

colab/tf_hub_delf_module.ipynb

Exemplifies use of the DELF Module for landmark recognition and matching.

colab/object_detection.ipynb

Explores object detection with the use of the Faster R-CNN module trained on Open Images v4.

colab/tf2_semantic_approximate_nearest_neighbors

This tutorial illustrates how to generate embeddings from a TF2 SavedModel given input data and build an approximate nearest neighbours (ANN) index using the extracted embeddings for real-time similarity matching and retrieval.

colab/semantic_approximate_nearest_neighbors

This tutorial illustrates how to generate embeddings from a model in the legacy TF1 Hub format given input data and build an approximate nearest neighbours (ANN) index using the extracted embeddings for real-time similarity matching and retrieval.

Python scripts

image_retraining

Shows how to train an image classifier based on any TensorFlow Hub module that computes image feature vectors.

text_embeddings

Example tool to generate a text embedding module from a csv file with word embeddings.

half_plus_two

Simple example of how to create a TensorFlow Hub Module.

TensorFlow 2

text_embeddings_v2

Example tool to generate a text embedding module in TF2 format.