In your terminal cd into the docs directory of this repo, eg: cd simpletransformers/docsįrom the docs directory run this command to serve the Jekyll docs locally: bundle exec jekyll serveīrowse to or whatever url you see in the console to visualize the docs.Īll the section pages of our docs can be found under docs/_docs directory, you can edit any file you want by following the markdown format and visualize the changes after refreshing the browser tab.
![fake app train model fake app train model](https://i.ytimg.com/vi/lBOogXbqXV4/maxresdefault.jpg)
Visualizing the docs on your local computer:.
#Fake app train model install
#Fake app train model how to
Please refer to the relevant section in the docs for more information on how to use these models.Multi-modal classification (text and image data combined) Taskīinary and multi-class text classification The currently implemented task-specific Simple Transformer models, along with their task, are given below. These can all be found in the documentation section for each task. The key differences will typically be the differences in input/output data formats and any task specific features/configuration options. However, there are necessary differences between the different models to ensure that they are well suited for their intended task. Make predictions on (unlabelled) data with predict().
![fake app train model fake app train model](https://i.pinimg.com/originals/62/c8/ff/62c8fffaa8d61f2454bc5abad15df150.jpg)
The high-level process of using Simple Transformers models follows the same pattern.
![fake app train model fake app train model](https://ae01.alicdn.com/kf/HTB1RctNJFXXXXbhXpXXq6xXFXXX4/2015-Kids-Children-Electronic-brand-TRAIN-Train-Tracks-Toy-Set-Smoke-With-Light-Music-Color-Box.jpg)
Each such model comes equipped with features and functionality designed to best fit the task that they are intended to perform. Simple Transformer models are built with a particular Natural Language Processing (NLP) task in mind. All documentation is now live at simpletransformers.ai