Xenova/transformers.js
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 .spm files to LFS
Add `xlm-roberta-base` default model
Use LFS for `xlm-roberta-base` tokenizer.json
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
initial commit