A repository for storing pre-trained Caffe2 models.
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README.md

Caffe2 Model Repository

This is a repository for storing pre-trained Caffe2 models. You can use Caffe2 to help you download or install the models on your machine.

Prerequisites

Install Caffe2 with Python bindings.

Download

To download a model locally, run

python -m caffe2.python.models.download squeezenet

which will create a folder squeezenet/ containing both an init_net.pb and predict_net.pb.

Install

To install a model, run

python -m caffe2.python.models.download -i squeezenet

which will allow later imports of the model directly in Python:

from caffe2.python.models import squeezenet
print(squeezenet.init_net.name)
print(squeezenet.predict_net.name)

Subdirectories

To download a model in a subdirectory (for example, style transfer), run

python -m caffe2.python.models.download style_transfer/crayon

and this will create a folder style_transfer/crayon/ containing both an init_net.pb and predict_net.pb.

Same applies to the -i install option.