ResNet models perform image classification - they take images as input and classify the major object in the image.
Automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data
DistilBERT-SST-2 is a distilled BERT model that was finetuned on SST-2 for sentiment classification.
M2M100 is a multilingual encoder-decoder (seq-to-seq) model trained for Many-to-Many multilingual translation.