Transformer Implementations
Transformer Implementations and some examples with them
Implemented:
- Vanilla Transformer
- ViT - Vision Transformers
- DeiT - Data efficient image Transformers
Installation
$ pip install transformer-implementations
Language Translation
from "Attention is All You Need": https://arxiv.org/pdf/1706.03762.pdf
Models trained with Implementation:
Multi-class Image Classification with Vision Transformers (ViT)
from "An Image is Worth 16x16 words: Transformers for image recognition at scale": https://arxiv.org/pdf/2010.11929v1.pdf
Models trained with Implementation:
Multi-class Image Classification with Data-efficient image Transformers (DeiT)
from "Training data-efficient image transformers & distillation through attention": https://arxiv.org/pdf/2012.12877v1.pdf
Models trained with Implementation:
1 maintainer
Metadata
1 maintainer
Release files for transformer-implementations 0.0.7
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