PyTorch vs TensorFlow: Who has More Pre-trained Deep Learning Models?

Too Long; Didn’t Read

It’s no secret that having access to pre-trained Deep Learning models is crucial to contemporary Deep Learning applications. With state-of-the-art models growing larger and larger into the trillions of parameters, it no longer makes sense to train advanced models from scratch in a large number of areas, especially fields like [Automatic Speech Recognition]. PyTorch and TensorFlow diverge sharply in the arena of model availability, but practitioners may want to utilize models from other sources. The demand for access to models is evident by the meteoric rise of [HuggingFace], which recently raised [$40 million].