Support for HuggingFace transformers models built with either PyTorch
   or TensorFlow.
Implications
Transformers Models based on the BERT (Bidirectional Encoder Representations from Transformers) 
architecture, or its variants such as distilBERT
 and roBERTa 
 will run best on Inf1 for non-generative tasks such as Extractive Question Answering, 
 Sequence Classification, Token Classification. Alternatively, text generation
tasks can be adapted to run on Inf1, according to this AWS Neuron MarianMT tutorial. 
More information about models that can be converted out of the box on Inferentia can be 
found in the Model Architecture Fit section of the Neuron documentation.
Dependencies
Using AWS Neuron to convert models requires the following dependencies and environment:
A Neuron SDK environment,
