This is the Windows app named TFKit whose latest release can be downloaded as v0.3.25.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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TFKit
DESCRIPTION
TFKit is a tool kit mainly for language generation. It leverages the use of transformers on many tasks with different models in this all-in-one framework. All you need is a little change of config. You can use tfkit for model training and evaluation with tfkit-train and tfkit-eval. The key to combine different task together is to make different task with same data format. All data will be in csv format - tfkit will use csv for all task, normally it will have two columns, first columns is the input of models, the second column is the output of models. Plane text with no tokenization - there is no need to tokenize text before training, or do re-calculating for tokenization, tfkit will handle it for you. No header is needed.
Features
- seq2seq language model
- onebyone generation model
- TFKit is a tool kit mainly for language generation
- Multi-task training
- Multi-class and multi-label classification
- Sequence level tagging / sequence level with crf
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/tfkit.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
