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Add SigLIP #26522

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091ffff
Add first draft
NielsRogge Sep 29, 2023
7e66228
Use appropriate gelu function
NielsRogge Sep 30, 2023
d341010
More improvements
NielsRogge Sep 30, 2023
432ec56
More improvements
NielsRogge Sep 30, 2023
3d700ae
More improvements
NielsRogge Sep 30, 2023
61e98d1
Convert checkpoint
NielsRogge Sep 30, 2023
4cfb533
More improvements
NielsRogge Sep 30, 2023
7bd5816
Improve docs, remove print statements
NielsRogge Oct 1, 2023
85e8efa
More improvements
NielsRogge Oct 1, 2023
5017a6a
Add link
NielsRogge Oct 1, 2023
f07af7c
remove unused masking function
patil-suraj Oct 2, 2023
6496041
begin tokenizer
patil-suraj Oct 2, 2023
fcd729f
do_lower_case
patil-suraj Oct 2, 2023
3cc8b4f
debug
patil-suraj Oct 2, 2023
9e02a78
set split_special_tokens=True
patil-suraj Oct 2, 2023
13f3f81
Remove script
NielsRogge Oct 1, 2023
c381838
Fix style
NielsRogge Nov 20, 2023
82cd61b
Fix rebase
NielsRogge Nov 20, 2023
35fb3dc
Use same design as CLIP
NielsRogge Nov 20, 2023
eb8748b
Add fast tokenizer
NielsRogge Nov 20, 2023
59a616c
Add SiglipTokenizer to init, remove extra_ids
NielsRogge Nov 20, 2023
da43b79
Improve conversion script
NielsRogge Nov 20, 2023
9bf7faf
Use smaller inputs in conversion script
NielsRogge Nov 20, 2023
d40ed62
Update conversion script
NielsRogge Nov 20, 2023
59c2ed6
More improvements
NielsRogge Nov 20, 2023
0d8e4b2
Add processor to conversion script
NielsRogge Nov 20, 2023
5f982d2
Add tests
NielsRogge Nov 20, 2023
ed32e1f
Remove print statements
NielsRogge Nov 21, 2023
93c2eec
Add tokenizer tests
NielsRogge Nov 21, 2023
40bb3c0
Fix more tests
NielsRogge Nov 21, 2023
e71278f
More improvements related to weight initialization
NielsRogge Nov 22, 2023
a6dcdbf
More improvements
NielsRogge Nov 22, 2023
b65ce00
Make more tests pass
NielsRogge Nov 22, 2023
b210f0d
More improvements
NielsRogge Nov 22, 2023
3eaf473
More improvements
NielsRogge Nov 22, 2023
8de1823
Add copied from
NielsRogge Nov 22, 2023
6e44b7f
Add canonicalize_text
NielsRogge Nov 22, 2023
dd94da3
Enable fast tokenizer tests
NielsRogge Nov 22, 2023
1f1dc25
More improvements
NielsRogge Nov 23, 2023
da5a0d9
Fix most slow tokenizer tests
NielsRogge Nov 23, 2023
ec0e037
Address comments
NielsRogge Nov 30, 2023
5b1dab1
Fix style
NielsRogge Nov 30, 2023
e2e6dc9
Remove script
NielsRogge Nov 30, 2023
bf0e06d
Address some comments
NielsRogge Dec 17, 2023
ca53b4e
Add copied from to tests
NielsRogge Dec 17, 2023
e4c991d
Add more copied from
NielsRogge Dec 17, 2023
28ef863
Add more copied from
NielsRogge Dec 17, 2023
d3d5363
Add more copied from
NielsRogge Dec 17, 2023
e6c3d30
Remove is_flax_available
NielsRogge Dec 17, 2023
8d099d1
Fix merge
NielsRogge Dec 17, 2023
d20a7bd
More updates
NielsRogge Dec 17, 2023
5c403a5
Address comment
NielsRogge Dec 17, 2023
395ec00
Remove SiglipTokenizerFast for now
NielsRogge Dec 17, 2023
96ddb2f
Add caching
NielsRogge Dec 17, 2023
1cb8436
Remove umt5 test
NielsRogge Dec 17, 2023
f6b8b1e
Add canonicalize_text inside _tokenize, thanks Arthur
NielsRogge Dec 17, 2023
746297b
Fix image processor tests
NielsRogge Dec 17, 2023
5390e87
Skip tests which are not applicable
NielsRogge Dec 17, 2023
0b68b5f
Skip test_initialization
NielsRogge Dec 17, 2023
e6045e7
More improvements
NielsRogge Dec 17, 2023
9e25c11
Compare pixel values
NielsRogge Dec 17, 2023
0fe9ddd
Fix doc tests, add integration test
NielsRogge Dec 18, 2023
c7ae7b0
Add do_normalize
NielsRogge Dec 18, 2023
3a7c473
Remove causal mask and leverage ignore copy
NielsRogge Dec 18, 2023
6082676
Fix attention_mask
NielsRogge Dec 18, 2023
35d35a9
Fix remaining tests
NielsRogge Dec 18, 2023
b4b129c
Fix dummies
NielsRogge Dec 18, 2023
30d8b5e
Rename temperature and bias
NielsRogge Dec 19, 2023
fe4a544
Address comments
NielsRogge Dec 19, 2023
a159f93
Add copied from to tokenizer tests
NielsRogge Dec 19, 2023
bfa7013
Add SiglipVisionModel to auto mapping
NielsRogge Dec 19, 2023
888fcb8
Add copied from to image processor tests
NielsRogge Dec 19, 2023
c78ab3e
Improve doc
NielsRogge Dec 19, 2023
d5bafa8
Remove SiglipVisionModel from index
NielsRogge Dec 20, 2023
c161c49
Address comments
NielsRogge Dec 21, 2023
446b150
Improve docs
NielsRogge Dec 21, 2023
20de309
Simplify config
NielsRogge Dec 21, 2023
c5590c9
Add first draft
NielsRogge Dec 21, 2023
01738d2
Make it like mistral
NielsRogge Dec 21, 2023
ae59c65
More improvements
NielsRogge Dec 21, 2023
10479da
Fix attention_mask
NielsRogge Dec 21, 2023
9a74702
Fix output_attentions
NielsRogge Dec 21, 2023
70e49be
Add note in docs
NielsRogge Dec 21, 2023
28bf56b
Convert multilingual model
NielsRogge Dec 24, 2023
a5258fd
Convert large checkpoint
NielsRogge Dec 24, 2023
58f46ff
Convert more checkpoints
NielsRogge Dec 24, 2023
41bb11d
Add pipeline support, correct image_mean and image_std
NielsRogge Dec 25, 2023
58937fb
Use padding=max_length by default
NielsRogge Dec 25, 2023
15dc528
Make processor like llava
NielsRogge Dec 25, 2023
3764b47
Add code snippet
NielsRogge Dec 25, 2023
5ab84a3
Convert more checkpoints
NielsRogge Dec 25, 2023
985a922
Set keep_punctuation_string=None as in OpenCLIP
NielsRogge Dec 28, 2023
ffdcfc5
Set normalized=False for special tokens
NielsRogge Jan 2, 2024
f678d4c
Fix doc test
NielsRogge Jan 2, 2024
e8b8230
Update integration test
NielsRogge Jan 8, 2024
ed40ec5
Add figure
NielsRogge Jan 8, 2024
8c83814
Update organization
NielsRogge Jan 8, 2024
4a0e70c
Happy new year
NielsRogge Jan 8, 2024
5e3df73
Use AutoModel everywhere
NielsRogge Jan 8, 2024
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1 change: 1 addition & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -470,6 +470,7 @@ Current number of checkpoints: ![](https://img.shields.io/endpoint?url=https://h
1. **[Segment Anything](https://huggingface.co/docs/transformers/model_doc/sam)** (from Meta AI) released with the paper [Segment Anything](https://arxiv.org/pdf/2304.02643v1.pdf) by Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alex Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick.
1. **[SEW](https://huggingface.co/docs/transformers/model_doc/sew)** (from ASAPP) released with the paper [Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition](https://arxiv.org/abs/2109.06870) by Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Han, Kilian Q. Weinberger, Yoav Artzi.
1. **[SEW-D](https://huggingface.co/docs/transformers/model_doc/sew_d)** (from ASAPP) released with the paper [Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition](https://arxiv.org/abs/2109.06870) by Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Han, Kilian Q. Weinberger, Yoav Artzi.
1. **[SigLIP](https://huggingface.co/docs/transformers/main/model_doc/siglip)** (from Google AI) released with the paper [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343) by Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer.
1. **[SpeechT5](https://huggingface.co/docs/transformers/model_doc/speecht5)** (from Microsoft Research) released with the paper [SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://arxiv.org/abs/2110.07205) by Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei.
1. **[SpeechToTextTransformer](https://huggingface.co/docs/transformers/model_doc/speech_to_text)** (from Facebook), released together with the paper [fairseq S2T: Fast Speech-to-Text Modeling with fairseq](https://arxiv.org/abs/2010.05171) by Changhan Wang, Yun Tang, Xutai Ma, Anne Wu, Dmytro Okhonko, Juan Pino.
1. **[SpeechToTextTransformer2](https://huggingface.co/docs/transformers/model_doc/speech_to_text_2)** (from Facebook), released together with the paper [Large-Scale Self- and Semi-Supervised Learning for Speech Translation](https://arxiv.org/abs/2104.06678) by Changhan Wang, Anne Wu, Juan Pino, Alexei Baevski, Michael Auli, Alexis Conneau.
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1 change: 1 addition & 0 deletions README_es.md
Original file line number Diff line number Diff line change
Expand Up @@ -445,6 +445,7 @@ Número actual de puntos de control: ![](https://img.shields.io/endpoint?url=htt
1. **[Segment Anything](https://huggingface.co/docs/transformers/model_doc/sam)** (from Meta AI) released with the paper [Segment Anything](https://arxiv.org/pdf/2304.02643v1.pdf) by Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alex Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick.
1. **[SEW](https://huggingface.co/docs/transformers/model_doc/sew)** (from ASAPP) released with the paper [Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition](https://arxiv.org/abs/2109.06870) by Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Han, Kilian Q. Weinberger, Yoav Artzi.
1. **[SEW-D](https://huggingface.co/docs/transformers/model_doc/sew_d)** (from ASAPP) released with the paper [Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition](https://arxiv.org/abs/2109.06870) by Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Han, Kilian Q. Weinberger, Yoav Artzi.
1. **[SigLIP](https://huggingface.co/docs/transformers/main/model_doc/siglip)** (from Google AI) released with the paper [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343) by Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer.
1. **[SpeechT5](https://huggingface.co/docs/transformers/model_doc/speecht5)** (from Microsoft Research) released with the paper [SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://arxiv.org/abs/2110.07205) by Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei.
1. **[SpeechToTextTransformer](https://huggingface.co/docs/transformers/model_doc/speech_to_text)** (from Facebook), released together with the paper [fairseq S2T: Fast Speech-to-Text Modeling with fairseq](https://arxiv.org/abs/2010.05171) by Changhan Wang, Yun Tang, Xutai Ma, Anne Wu, Dmytro Okhonko, Juan Pino.
1. **[SpeechToTextTransformer2](https://huggingface.co/docs/transformers/model_doc/speech_to_text_2)** (from Facebook), released together with the paper [Large-Scale Self- and Semi-Supervised Learning for Speech Translation](https://arxiv.org/abs/2104.06678) by Changhan Wang, Anne Wu, Juan Pino, Alexei Baevski, Michael Auli, Alexis Conneau.
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1 change: 1 addition & 0 deletions README_hd.md
Original file line number Diff line number Diff line change
Expand Up @@ -419,6 +419,7 @@ conda install -c huggingface transformers
1. **[Segment Anything](https://huggingface.co/docs/transformers/model_doc/sam)** (Meta AI से) Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alex Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick. द्वाराअनुसंधान पत्र [Segment Anything](https://arxiv.org/pdf/2304.02643v1.pdf) के साथ जारी किया गया
1. **[SEW](https://huggingface.co/docs/transformers/model_doc/sew)** (ASAPP से) साथ देने वाला पेपर [भाषण पहचान के लिए अनसुपरवाइज्ड प्री-ट्रेनिंग में परफॉर्मेंस-एफिशिएंसी ट्रेड-ऑफ्स](https ://arxiv.org/abs/2109.06870) फेलिक्स वू, क्वांगयुन किम, जिंग पैन, क्यू हान, किलियन क्यू. वेनबर्गर, योव आर्टज़ी द्वारा।
1. **[SEW-D](https://huggingface.co/docs/transformers/model_doc/sew_d)** (ASAPP से) साथ में पेपर [भाषण पहचान के लिए अनसुपरवाइज्ड प्री-ट्रेनिंग में परफॉर्मेंस-एफिशिएंसी ट्रेड-ऑफ्स] (https://arxiv.org/abs/2109.06870) फेलिक्स वू, क्वांगयुन किम, जिंग पैन, क्यू हान, किलियन क्यू. वेनबर्गर, योआव आर्टज़ी द्वारा पोस्ट किया गया।
1. **[SigLIP](https://huggingface.co/docs/transformers/main/model_doc/siglip)** (Google AI से) Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer. द्वाराअनुसंधान पत्र [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343) के साथ जारी किया गया
1. **[SpeechT5](https://huggingface.co/docs/transformers/model_doc/speecht5)** (from Microsoft Research) released with the paper [SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://arxiv.org/abs/2110.07205) by Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei.
1. **[SpeechToTextTransformer](https://huggingface.co/docs/transformers/model_doc/speech_to_text)** (फेसबुक से), साथ में पेपर [फेयरसेक S2T: फास्ट स्पीच-टू-टेक्स्ट मॉडलिंग विद फेयरसेक](https: //arxiv.org/abs/2010.05171) चांगहान वांग, यूं तांग, जुताई मा, ऐनी वू, दिमित्रो ओखोनको, जुआन पिनो द्वारा पोस्ट किया गया。
1. **[SpeechToTextTransformer2](https://huggingface.co/docs/transformers/model_doc/speech_to_text_2)** (फेसबुक से) साथ में पेपर [लार्ज-स्केल सेल्फ- एंड सेमी-सुपरवाइज्ड लर्निंग फॉर स्पीच ट्रांसलेशन](https://arxiv.org/abs/2104.06678) चांगहान वांग, ऐनी वू, जुआन पिनो, एलेक्सी बेवस्की, माइकल औली, एलेक्सिस द्वारा Conneau द्वारा पोस्ट किया गया।
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1 change: 1 addition & 0 deletions README_ja.md
Original file line number Diff line number Diff line change
Expand Up @@ -479,6 +479,7 @@ Flax、PyTorch、TensorFlowをcondaでインストールする方法は、それ
1. **[Segment Anything](https://huggingface.co/docs/transformers/model_doc/sam)** (Meta AI から) Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alex Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick. から公開された研究論文 [Segment Anything](https://arxiv.org/pdf/2304.02643v1.pdf)
1. **[SEW](https://huggingface.co/docs/transformers/model_doc/sew)** (ASAPP から) Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Han, Kilian Q. Weinberger, Yoav Artzi から公開された研究論文: [Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition](https://arxiv.org/abs/2109.06870)
1. **[SEW-D](https://huggingface.co/docs/transformers/model_doc/sew_d)** (ASAPP から) Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Han, Kilian Q. Weinberger, Yoav Artzi から公開された研究論文: [Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition](https://arxiv.org/abs/2109.06870)
1. **[SigLIP](https://huggingface.co/docs/transformers/main/model_doc/siglip)** (Google AI から) Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer. から公開された研究論文 [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343)
1. **[SpeechT5](https://huggingface.co/docs/transformers/model_doc/speecht5)** (Microsoft Research から) Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei. から公開された研究論文 [SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://arxiv.org/abs/2110.07205)
1. **[SpeechToTextTransformer](https://huggingface.co/docs/transformers/model_doc/speech_to_text)** (Facebook から), Changhan Wang, Yun Tang, Xutai Ma, Anne Wu, Dmytro Okhonko, Juan Pino から公開された研究論文: [fairseq S2T: Fast Speech-to-Text Modeling with fairseq](https://arxiv.org/abs/2010.05171)
1. **[SpeechToTextTransformer2](https://huggingface.co/docs/transformers/model_doc/speech_to_text_2)** (Facebook から), Changhan Wang, Anne Wu, Juan Pino, Alexei Baevski, Michael Auli, Alexis Conneau から公開された研究論文: [Large-Scale Self- and Semi-Supervised Learning for Speech Translation](https://arxiv.org/abs/2104.06678)
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1 change: 1 addition & 0 deletions README_ko.md
Original file line number Diff line number Diff line change
Expand Up @@ -394,6 +394,7 @@ Flax, PyTorch, TensorFlow 설치 페이지에서 이들을 conda로 설치하는
1. **[Segment Anything](https://huggingface.co/docs/transformers/model_doc/sam)** (Meta AI 에서 제공)은 Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alex Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick.의 [Segment Anything](https://arxiv.org/pdf/2304.02643v1.pdf)논문과 함께 발표했습니다.
1. **[SEW](https://huggingface.co/docs/transformers/model_doc/sew)** (ASAPP 에서) Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Han, Kilian Q. Weinberger, Yoav Artzi 의 [Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition](https://arxiv.org/abs/2109.06870) 논문과 함께 발표했습니다.
1. **[SEW-D](https://huggingface.co/docs/transformers/model_doc/sew_d)** (ASAPP 에서) Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Han, Kilian Q. Weinberger, Yoav Artzi 의 [Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition](https://arxiv.org/abs/2109.06870) 논문과 함께 발표했습니다.
1. **[SigLIP](https://huggingface.co/docs/transformers/main/model_doc/siglip)** (Google AI 에서 제공)은 Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer.의 [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343)논문과 함께 발표했습니다.
1. **[SpeechT5](https://huggingface.co/docs/transformers/model_doc/speecht5)** (Microsoft Research 에서 제공)은 Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei.의 [SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://arxiv.org/abs/2110.07205)논문과 함께 발표했습니다.
1. **[SpeechToTextTransformer](https://huggingface.co/docs/transformers/model_doc/speech_to_text)** (Facebook 에서) Changhan Wang, Yun Tang, Xutai Ma, Anne Wu, Dmytro Okhonko, Juan Pino 의 [fairseq S2T: Fast Speech-to-Text Modeling with fairseq](https://arxiv.org/abs/2010.05171) 논문과 함께 발표했습니다.
1. **[SpeechToTextTransformer2](https://huggingface.co/docs/transformers/model_doc/speech_to_text_2)** (Facebook 에서) Changhan Wang, Anne Wu, Juan Pino, Alexei Baevski, Michael Auli, Alexis Conneau 의 [Large-Scale Self- and Semi-Supervised Learning for Speech Translation](https://arxiv.org/abs/2104.06678) 논문과 함께 발표했습니다.
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1 change: 1 addition & 0 deletions README_zh-hans.md
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Expand Up @@ -418,6 +418,7 @@ conda install -c huggingface transformers
1. **[Segment Anything](https://huggingface.co/docs/transformers/model_doc/sam)** (来自 Meta AI) 伴随论文 [Segment Anything](https://arxiv.org/pdf/2304.02643v1.pdf) 由 Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alex Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick 发布。
1. **[SEW](https://huggingface.co/docs/transformers/model_doc/sew)** (来自 ASAPP) 伴随论文 [Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition](https://arxiv.org/abs/2109.06870) 由 Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Han, Kilian Q. Weinberger, Yoav Artzi 发布。
1. **[SEW-D](https://huggingface.co/docs/transformers/model_doc/sew_d)** (来自 ASAPP) 伴随论文 [Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition](https://arxiv.org/abs/2109.06870) 由 Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Han, Kilian Q. Weinberger, Yoav Artzi 发布。
1. **[SigLIP](https://huggingface.co/docs/transformers/main/model_doc/siglip)** (来自 Google AI) 伴随论文 [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343) 由 Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer 发布。
1. **[SpeechT5](https://huggingface.co/docs/transformers/model_doc/speecht5)** (来自 Microsoft Research) 伴随论文 [SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://arxiv.org/abs/2110.07205) 由 Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei 发布。
1. **[SpeechToTextTransformer](https://huggingface.co/docs/transformers/model_doc/speech_to_text)** (来自 Facebook), 伴随论文 [fairseq S2T: Fast Speech-to-Text Modeling with fairseq](https://arxiv.org/abs/2010.05171) 由 Changhan Wang, Yun Tang, Xutai Ma, Anne Wu, Dmytro Okhonko, Juan Pino 发布。
1. **[SpeechToTextTransformer2](https://huggingface.co/docs/transformers/model_doc/speech_to_text_2)** (来自 Facebook) 伴随论文 [Large-Scale Self- and Semi-Supervised Learning for Speech Translation](https://arxiv.org/abs/2104.06678) 由 Changhan Wang, Anne Wu, Juan Pino, Alexei Baevski, Michael Auli, Alexis Conneau 发布。
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1 change: 1 addition & 0 deletions README_zh-hant.md
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1. **[Segment Anything](https://huggingface.co/docs/transformers/model_doc/sam)** (from Meta AI) released with the paper [Segment Anything](https://arxiv.org/pdf/2304.02643v1.pdf) by Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alex Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick.
1. **[SEW](https://huggingface.co/docs/transformers/model_doc/sew)** (from ASAPP) released with the paper [Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition](https://arxiv.org/abs/2109.06870) by Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Han, Kilian Q. Weinberger, Yoav Artzi.
1. **[SEW-D](https://huggingface.co/docs/transformers/model_doc/sew_d)** (from ASAPP) released with the paper [Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition](https://arxiv.org/abs/2109.06870) by Felix Wu, Kwangyoun Kim, Jing Pan, Kyu Han, Kilian Q. Weinberger, Yoav Artzi.
1. **[SigLIP](https://huggingface.co/docs/transformers/main/model_doc/siglip)** (from Google AI) released with the paper [Sigmoid Loss for Language Image Pre-Training](https://arxiv.org/abs/2303.15343) by Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer.
1. **[SpeechT5](https://huggingface.co/docs/transformers/model_doc/speecht5)** (from Microsoft Research) released with the paper [SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing](https://arxiv.org/abs/2110.07205) by Junyi Ao, Rui Wang, Long Zhou, Chengyi Wang, Shuo Ren, Yu Wu, Shujie Liu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei.
1. **[SpeechToTextTransformer](https://huggingface.co/docs/transformers/model_doc/speech_to_text)** (from Facebook), released together with the paper [fairseq S2T: Fast Speech-to-Text Modeling with fairseq](https://arxiv.org/abs/2010.05171) by Changhan Wang, Yun Tang, Xutai Ma, Anne Wu, Dmytro Okhonko, Juan Pino.
1. **[SpeechToTextTransformer2](https://huggingface.co/docs/transformers/model_doc/speech_to_text_2)** (from Facebook) released with the paper [Large-Scale Self- and Semi-Supervised Learning for Speech Translation](https://arxiv.org/abs/2104.06678) by Changhan Wang, Anne Wu, Juan Pino, Alexei Baevski, Michael Auli, Alexis Conneau.
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2 changes: 2 additions & 0 deletions docs/source/en/_toctree.yml
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title: Pix2Struct
- local: model_doc/sam
title: Segment Anything
- local: model_doc/siglip
title: SigLIP
- local: model_doc/speech-encoder-decoder
title: Speech Encoder Decoder Models
- local: model_doc/tapas
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| [SegFormer](model_doc/segformer) | ✅ | ✅ | ❌ |
| [SEW](model_doc/sew) | ✅ | ❌ | ❌ |
| [SEW-D](model_doc/sew-d) | ✅ | ❌ | ❌ |
| [SigLIP](model_doc/siglip) | ✅ | ❌ | ❌ |
| [Speech Encoder decoder](model_doc/speech-encoder-decoder) | ✅ | ❌ | ✅ |
| [Speech2Text](model_doc/speech_to_text) | ✅ | ✅ | ❌ |
| [SpeechT5](model_doc/speecht5) | ✅ | ❌ | ❌ |
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