dialogy-template-simple-transformers | Dialogy template using simple transformers
kandi X-RAY | dialogy-template-simple-transformers Summary
kandi X-RAY | dialogy-template-simple-transformers Summary
dialogy-template-simple-transformers is a Python library. dialogy-template-simple-transformers has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However dialogy-template-simple-transformers build file is not available. You can download it from GitHub.
Dialogy template using simple transformers.
Dialogy template using simple transformers.
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Quality
Security
License
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Support
dialogy-template-simple-transformers has a low active ecosystem.
It has 6 star(s) with 4 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
There are 10 open issues and 36 have been closed. On average issues are closed in 100 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of dialogy-template-simple-transformers is current.
Quality
dialogy-template-simple-transformers has no bugs reported.
Security
dialogy-template-simple-transformers has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
dialogy-template-simple-transformers is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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dialogy-template-simple-transformers releases are not available. You will need to build from source code and install.
dialogy-template-simple-transformers has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed dialogy-template-simple-transformers and discovered the below as its top functions. This is intended to give you an instant insight into dialogy-template-simple-transformers implemented functionality, and help decide if they suit your requirements.
- Return a prediction for a given purpose .
- Create a new data split .
- Creates a list of plugin plugins .
- Run a development workflow .
- Create a new release .
- Runs SLU .
- Get test outputs .
- Run repl .
- Swaps the current intent .
- Deploys a changelog to a repo .
Get all kandi verified functions for this library.
dialogy-template-simple-transformers Key Features
No Key Features are available at this moment for dialogy-template-simple-transformers.
dialogy-template-simple-transformers Examples and Code Snippets
No Code Snippets are available at this moment for dialogy-template-simple-transformers.
Community Discussions
No Community Discussions are available at this moment for dialogy-template-simple-transformers.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install dialogy-template-simple-transformers
Make sure you have git, python==^3.8, poetry installed. Preferably within a virtual environment.
The poetry install step takes care of dvc installation. You need to create a project on github, gitlab, bitbucket, etc. set the remote. Once you are done with the installation, you can perform slu -h.
Let's start with dataset, model and report management command slu setup-dirs --version=0.0.1.
Finally, we are ready to build a Docker image for our service for production runs. We use Makefiles to ensure a bit of hygiene checks. Run make <image-name> to check if the image builds in your local environment. If you have CI-CD enabled, that should do it for you.
The poetry install step takes care of dvc installation. You need to create a project on github, gitlab, bitbucket, etc. set the remote. Once you are done with the installation, you can perform slu -h.
Let's start with dataset, model and report management command slu setup-dirs --version=0.0.1.
Finally, we are ready to build a Docker image for our service for production runs. We use Makefiles to ensure a bit of hygiene checks. Run make <image-name> to check if the image builds in your local environment. If you have CI-CD enabled, that should do it for you.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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