!pip install --upgrade tensorflow_hub import tensorflow_hub as hub model = hub.KerasLayer("https://tfhub.dev/google/nnlm-en-dim128/2") embeddings = model(["The rain in Spain.", "falls", "mainly", "In the plain!"]) print(embeddings.shape) #(4,128)
TensorFlow Hub is a repository of trained machine learning models ready for fine-tuning and deployable anywhere. Reuse trained models like BERT and Faster R-CNN with just a few lines of code.
Use the Faster R-CNN Inception ResNet V2 640x640 model for detecting objects in images.
Learn how to use the SPICE model to automatically transcribe sheet music from live audio.
Use the BiT model for training state-of-the-art custom image classifiers.