add a card for organization
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README.md
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---
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Welcome to **ONNX Working Group**! π€
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We are looking for contributing to HuggingFace's ONNX implementation for all available models on the HF's hub.
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There is already a lot of architectures implemented for converting PyTorch models to ONNX, but we need more! We need
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them all!
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Feel free to join me in this adventure! You can reach me directly on Discord: `ChainYo#3610`
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Here is a list of all the models that need to receive ONNX support:
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- β
Albert
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- β
BART
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- BeiT
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- β
BERT
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- BigBird
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- BigBirdPegasus
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- Blenderbot
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- BlenderbotSmall
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- CLIP
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- CTRL
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- β
CamemBERT
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- Canine
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- ConvBert
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- β
Data2Vec
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- Deberta
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- DeiT
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- β
Distilbert
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- β
Electra
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- FNet
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- FSMT
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- Flaubert
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- Funnel
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- GPT2
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- GPTJ
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- β
GPTNeo
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- Hubert
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- β
I-Bert
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- ImageGPT
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- LED
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- β
LayoutLM
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- LayoutLMv2
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- Longformer
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- Luke
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- Lxmert
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- β
M2M100
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- β
mBart
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- MPNet
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- MT5
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- β
Marian
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- MegatronBert
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- MobileBert
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- Nystromformer
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- β
OpenAIGPT-2
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- β
PLBart
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- Pegasus
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- Perceiver
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- PoolFormer
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- ProphetNet
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- rag
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- Reformer
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- RemBert
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- RoFormer
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- β
RoBERTa
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- SEWD
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- Segformer
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- Splinter
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- SqueezeBERT
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- Swin
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- β
T5
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- TransfoXL
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- UniSpeech
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- UniSpeechSat
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- ViT
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- Vilt
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- VisualBERT
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- Wav2Vec2
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- WavLM
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- XGLM
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- XLM
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- XLMProphetNet
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- β
XLM-RoBERTa
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- β
XLM-Roberta-XL
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- XLNet
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- Yoso
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If there is a green checkmark next to a model, it means that the model is already supported by ONNX. If there is nothing
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next to a model, it means that the model is not yet supported by ONNX and thus we need to add support for it.
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If you need some help about implementing an unsupported model, here is a [guide from HF's](https://huggingface.co/docs/transformers/serialization#exporting-a-model-for-an-unsupported-architecture) documentation.
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If you want an example of implementation, I did one for [CamemBERT](https://github.com/huggingface/transformers/pull/14059) some months ago.
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Have fun coding!
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