DE eng

Search in the Catalogues and Directories

Hits 1 – 8 of 8

1
huggingface/datasets: 1.18.1 ...
BASE
Show details
2
huggingface/transformers: v4.4.0: S2T, M2M100, I-BERT, mBART-50, DeBERTa-v2, XLSR-Wav2Vec2 ...
BASE
Show details
3
huggingface/datasets: 1.16.0 ...
BASE
Show details
4
Transformers: State-of-the-Art Natural Language Processing ...
BASE
Show details
5
Transformers: State-of-the-Art Natural Language Processing ...
Abstract: New models XGLM The XGLM model was proposed in Few-shot Learning with Multilingual Language Models by Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona Diab, Veselin Stoyanov, Xian Li. XGLM is a GPT3-like multilingual model trained on a balanced corpus covering a diverse set of languages. Add XGLM models by @patil-suraj in https://github.com/huggingface/transformers/pull/14876 ConvNext The ConvNeXT model was proposed in A ConvNet for the 2020s by Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie. ConvNeXT is a pure convolutional model (ConvNet), inspired by the design of Vision Transformers, that claims to outperform them. Add ConvNeXT by @NielsRogge in https://github.com/huggingface/transformers/pull/15277 Add TFConvNextModel by @sayakpaul in ... : If you use this software, please cite it using these metadata. ...
URL: https://zenodo.org/record/6325738
https://dx.doi.org/10.5281/zenodo.6325738
BASE
Hide details
6
huggingface/transformers: ProphetNet, Blenderbot, SqueezeBERT, DeBERTa ...
BASE
Show details
7
huggingface/transformers: Trainer, TFTrainer, Multilingual BART, Encoder-decoder improvements, Generation Pipeline ...
BASE
Show details
8
huggingface/pytorch-transformers: DistilBERT, GPT-2 Large, XLM multilingual models, bug fixes ...
BASE
Show details

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
8
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern