chunked/nltk_chunking/model_doc_imagegpt/chunk_6.txt

We are also
competitive with self-supervised benchmarks on ImageNet when substituting pixels for a VQVAE encoding, achieving 69.0%
top-1 accuracy on a linear probe of our features.