A concise but fully-featured transformer, complete with a set of promising experimental features from various papers. Install $ pip install x-transformers Usage Full encoder / decoder import torch from x_transformers import XTransformer model = XTransformer( dim = 512, enc_num_tokens = 256, enc...
Conneau A, Khandelwal K, Goyal N, Chaudhary V, Wenzek G, Guzmán F, Grave E, Ott M, Zettlemoyer L, Stoyanov V (2020) Unsupervised cross-lingual representation learning at scale, in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online,...
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, TimothÅLee Lacroix, Baptiste Rozi`ere, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guilla...
L O A D I N G. . . comments & more! About Author Auto Encoder: How to Ignore the Signal Noise@autoencoder Subscribe Research & publications on Auto Encoders, revolutionizing data compression and feature learning techniques. Read my storiesLearn More TOPICS machine-learning #deep-learning #...
Megatron-BERT(来自 NVIDIA) 伴随论文Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism由 Mohammad Shoeybi, Mostofa Patwary, Raul Puri, Patrick LeGresley, Jared Casper and Bryan Catanzaro 发布。 Megatron-GPT2(来自 NVIDIA) 伴随论文Megatron-LM: Training Multi-Billion ...
ModelAcc@1Acc@5#ParamsFLOPsImage SizeCrop pctInterpLink vit_base_patch32_224 80.68 95.61 88.2M 4.4G 224 0.875 bicubic google/baidu(ubyr) vit_base_patch32_384 83.35 96.84 88.2M 12.7G 384 1.0 bicubic google/baidu(3c2f) vit_base_patch16_224 84.58 97.30 86.4M 17.0G 224 0.875 bicubic goog...
安装依赖项. 通用的依赖项: pip install yacs, yaml 分割需要的依赖项: pip install cityscapesScripts, detail GAN需要的依赖项: pip install lmdb 从GitHub克隆项目 git clone https://github.com/BR-IDL/PaddleViT.git 结果(Model Zoo) 图像分类
I, and employs an edge distribution function to accurately determine the slope of the lane line's linear model within a specified region. The approach subsequently employs the directional Haar feature to extract edge feature points. These points are then utilized to align with the linear model ...
Reformer comes with a slight drawback that the sequence must be neatly divisible by the bucket size * 2. I have provided a small helper tool that can help you auto-round the sequence length to the next best multiple. import torch from reformer_pytorch import ReformerLM, Autopadder model =...
Reformer comes with a slight drawback that the sequence must be neatly divisible by the bucket size * 2. I have provided a small helper tool that can help you auto-round the sequence length to the next best multiple. import torch from reformer_pytorch import ReformerLM, Autopadder model =...