Add `decoder_model_merged.onnx`, which is necessary for `sshleifer/distilbart-cnn-12-6` to run (#1)

Add `detr-resnet-50-panoptic` for image-segmentation

Add paraphrasing models

Add `Davlan/distilbert-base-multilingual-cased-ner-hrl` for NER

Add more Helsinki-NLP translation models

Add models for token classification

Add Helsinki-NLP models for translation

Add Helsinki-NLP model for ru-en translation

Add .spm files

Add `xlm-roberta-base` default model

Add `distilbert` and `mobilebert` models for zero-shot classification

Fix `squeezebert` models to use unsigned weights

Add `squeezebert` models for sequence classification and masked language modelling

Add `roberta-large-mnli` for `zero-shot classification`

Add `mobilebert-uncased` for `masked-lm`

Add `bart-large-mnli` for zero-shot classification

Update whisper models

Add mT5 models

Add gpt-neo-125M model for text generation

Add DETR models for object detection

Add voidful/albert_chinese_base model

Add generation config files for all supported models

Update `whisper-tiny.en` model files

Update whisper-tiny config and tokenizer files

Add bart-large-cnn for seq2seq-lm

Add `blenderbot_small-90M` models

Update clip model

Add CLIP base models

Add codegen models

Add gpt2 default and causal-lm models

Add `vit-base-patch16-224-in21k` model file

Add vision transformer models

Add albert models

Update seq2seq and causal-lm models to use decoder_model_merged.onnx

Add tokenizers for whisper models

Add whisper family of models

Add distilbart-cnn-12-6 model

Add `flat-t5` small and base models

Add `t5-v1_1` small and base models

Add more sentence-transformers models

Add roberta-base and distilroberta-base models

Add sentence-transformers all-MiniLM-L6-v2 model

Add t5-base model

Fix folder structure

Remove sequence classification for bert-base-multilingual models

Add distilbert-base-uncased-finetuned-sst-2-english

Add v1 models