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

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

Explores text semantic similarity with the Universal Encoder Module.

Explores a generative image module.

Explores action recognition from video.

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

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

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.

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.

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

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

Simple example of how to create a TensorFlow Hub Module.

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