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  1. README.md +109 -96
README.md CHANGED
@@ -1,103 +1,116 @@
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  ---
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  title: README
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  emoji: 👀
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- colorFrom: blue
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- colorTo: purple
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  sdk: static
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  pinned: false
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  ---
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- Welcome to **ONNX Working Group**! 🤗
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-
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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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-
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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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-
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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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-
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- Here is a list of all the models that need to receive ONNX support:
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-
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- - ✅ Albert
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- - ✅ BART
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- - BeiT
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- - ✅ 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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- - ✅ CamemBERT
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- - Canine
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- - ConvBert
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- - ✅ Data2Vec
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- - Deberta
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- - DeiT
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- - ✅ Distilbert
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- - ✅ 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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- - ✅ GPTNeo
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- - Hubert
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- - ✅ I-Bert
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- - ImageGPT
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- - LED
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- - ✅ 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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- - ✅ M2M100
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- - ✅ mBart
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- - MPNet
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- - MT5
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- - ✅ Marian
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- - MegatronBert
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- - MobileBert
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- - Nystromformer
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- - ✅ OpenAIGPT-2
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- - ✅ 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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- - ✅ 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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- - ✅ 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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- - ✅ XLM-RoBERTa
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- - ✅ XLM-Roberta-XL
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- - XLNet
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- - Yoso
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-
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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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-
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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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-
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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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-
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- Have fun coding!
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
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  title: README
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  emoji: 👀
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+ colorFrom: grey
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+ colorTo: white
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  sdk: static
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  pinned: false
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  ---
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+ <div class="grid lg:grid-cols-3 gap-x-4 gap-y-7">
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+ <div class="lg:col-span-3">
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+ <p class="mb-4">
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+ Welcome to **ONNX Working Group**! 🤗 <br />
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+ We are looking for contributing to HuggingFace's ONNX implementation for all available
15
+ models on the HF's hub. There is already a lot of architectures implemented for converting PyTorch models
16
+ to ONNX, but we need more! We need them all! <br /><br />
17
+ Feel free to join me in this adventure! You can reach me directly on Discord: `ChainYo#3610`<br />
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+ </p>
19
+ </div>
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+ <div class="lg:col-span-3">
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+ <p class="mb-4">Here is a list of all the models that need to receive ONNX support:</p>
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+ <div class="p-4 bg-gradient-to-b from-gray-50-to-white border border-gray-100 rounded-lg relative mb-4">
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+ <pre class="break-words leading-1 whitespace-pre-line text-xs md:text-sm text-gray-800">
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+ - ✅ Albert
25
+ - ✅ BART
26
+ - BeiT
27
+ - ✅ BERT
28
+ - BigBird
29
+ - BigBirdPegasus
30
+ - Blenderbot
31
+ - BlenderbotSmall
32
+ - CLIP
33
+ - CTRL
34
+ - ✅ CamemBERT
35
+ - Canine
36
+ - ConvBert
37
+ - ✅ Data2Vec
38
+ - Deberta
39
+ - DeiT
40
+ - ✅ Distilbert
41
+ - ✅ Electra
42
+ - FNet
43
+ - FSMT
44
+ - Flaubert
45
+ - Funnel
46
+ - GPT2
47
+ - GPTJ
48
+ - ✅ GPTNeo
49
+ - Hubert
50
+ - ✅ I-Bert
51
+ - ImageGPT
52
+ - LED
53
+ - ✅ LayoutLM
54
+ - LayoutLMv2
55
+ - Longformer
56
+ - Luke
57
+ - Lxmert
58
+ - ✅ M2M100
59
+ - ✅ mBart
60
+ - MPNet
61
+ - MT5
62
+ - ✅ Marian
63
+ - MegatronBert
64
+ - MobileBert
65
+ - Nystromformer
66
+ - ✅ OpenAIGPT-2
67
+ - ✅ PLBart
68
+ - Pegasus
69
+ - Perceiver
70
+ - PoolFormer
71
+ - ProphetNet
72
+ - rag
73
+ - Reformer
74
+ - RemBert
75
+ - RoFormer
76
+ - ✅ RoBERTa
77
+ - SEWD
78
+ - Segformer
79
+ - Splinter
80
+ - SqueezeBERT
81
+ - Swin
82
+ - ✅ T5
83
+ - TransfoXL
84
+ - UniSpeech
85
+ - UniSpeechSat
86
+ - ViT
87
+ - Vilt
88
+ - VisualBERT
89
+ - Wav2Vec2
90
+ - WavLM
91
+ - XGLM
92
+ - XLM
93
+ - XLMProphetNet
94
+ - ✅ XLM-RoBERTa
95
+ - ✅ XLM-Roberta-XL
96
+ - XLNet
97
+ - Yoso
98
+ </pre>
99
+ </div>
100
+ </div>
101
+ <div class="lg:col-span-3">
102
+ <p class="mb-4">
103
+ If there is a green checkmark next to a model, it means that the model is already supported by ONNX. If there is nothing
104
+ next to a model, it means that the model is not yet supported by ONNX and thus we need to add support for it. <br />
105
+ If you need some help about implementing an unsupported model, here is a
106
+ <a href="https://huggingface.co/docs/transformers/serialization#exporting-a-model-for-an-unsupported-architecture">
107
+ guide from HuggingFace's documentation
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+ </a>.<br />
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+ If you want an example of implementation, I did one for
110
+ <a href="https://github.com/huggingface/transformers/pull/14059">
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+ CamemBERT
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+ </a> some months ago.<br />
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+ Have fun coding!
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+ </p>
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+ </div>
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+ </div>