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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 huggingface/datasets: 1.18.1 ... Lhoest, Quentin; Moral, Albert Villanova Del; Von Platen, Patrick. - : Zenodo, 2022 BASE Show details 2 huggingface/transformers: v4.4.0: S2T, M2M100, I-BERT, mBART-50, DeBERTa-v2, XLSR-Wav2Vec2 ... Wolf, Thomas; Debut, Lysandre; Gugger, Sylvain. - : Zenodo, 2021 BASE Show details 3 huggingface/datasets: 1.16.0 ... Lhoest, Quentin; Moral, Albert Villanova Del; Von Platen, Patrick. - : Zenodo, 2021 BASE Show details 4 Transformers: State-of-the-Art Natural Language Processing ... Wolf, Thomas; Debut, Lysandre; Sanh, Victor; Chaumond, Julien; Delangue, Clement; Moi, Anthony; Cistac, Perric; Ma, Clara; Jernite, Yacine; Plu, Julien; Xu, Canwen; Le Scao, Teven; Gugger, Sylvain; Drame, Mariama; Lhoest, Quentin; Rush, Alexander M.. - : Zenodo, 2020 Abstract: New Model additions Perceiver Eight new models are released as part of the Perceiver implementation: PerceiverModel , PerceiverForMaskedLM , PerceiverForSequenceClassification , PerceiverForImageClassificationLearned , PerceiverForImageClassificationFourier , PerceiverForImageClassificationConvProcessing , PerceiverForOpticalFlow , PerceiverForMultimodalAutoencoding , in PyTorch. The Perceiver IO model was proposed in Perceiver IO: A General Architecture for Structured Inputs & Outputs by Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira. Add Perceiver IO by @NielsRogge in https://github.com/huggingface/transformers/pull/14487 Compatible checkpoints can be found on the hub: https://huggingface.co/models?other=perceiver mLUKE The mLUKE tokenizer is added. The tokenizer can be used for the multilingual variant of ... : If you use this software, please cite it using these metadata. ... URL: https://zenodo.org/record/5770483 https://dx.doi.org/10.5281/zenodo.5770483 BASE Hide details 5 Transformers: State-of-the-Art Natural Language Processing ... Wolf, Thomas; Debut, Lysandre; Sanh, Victor. - : Zenodo, 2020 BASE Show details 6 huggingface/transformers: ProphetNet, Blenderbot, SqueezeBERT, DeBERTa ... Wolf, Thomas; Debut, Lysandre; Chaumond, Julien. - : Zenodo, 2020 BASE Show details 7 MultiFiT: Efficient Multi-lingual Language Model Fine-tuning ... Eisenschlos, Julian Martin; Ruder, Sebastian; Czapla, Piotr. - : arXiv, 2019 BASE Show details

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