TensorFlow Hub is an open repository and library for reusable machine learning. The tfhub.dev repository provides many pre-trained models: text embeddings, image classification models, TF.js/TFLite models and much more. The repository is open to community contributors.
The tensorflow_hub
library lets you
download and reuse them in your TensorFlow program with a minimum amount of
code.
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)
Next Steps
- Find models on tfhub.dev
- Publish models on tfhub.dev
- TensorFlow Hub library
- Follow tutorials