cyk1337/Transformer-in-PyTorch
Transformer/Transformer-XL/R-Transformer examples and explanations
This provides implementations of Transformer neural network architectures, including Transformer-XL and R-Transformer, within the PyTorch framework. It takes raw text or sequential data as input and outputs processed data that can be used for tasks like language translation, text summarization, or other sequence-to-sequence predictions. This resource is for machine learning engineers and researchers focused on natural language processing.
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Use this if you are a machine learning practitioner looking to experiment with or apply advanced Transformer models for natural language processing or sequential data tasks.
Not ideal if you are a non-technical user needing an off-the-shelf application or a developer unfamiliar with PyTorch.
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Language
Python
License
Apache-2.0
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Last pushed
Dec 30, 2021
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