Comments (5)
- Custom path for sample and ls could also be taken from config
from mltype.
- Custom path for sample and ls could also be taken from config
Very much related to #58.
@AbhayAysola I wonder what would be your usecase? I would imagine it is flexibility. The idea behind putting everything in ~/.mltype
is to be able to run mlt ls
and mlt sample
from anywhere.
from mltype.
That way, I could seperate models by folder to organise them well. Like Python related models in a Python folder, General English related go in English folder etc. When I want to use other models, I would just switch the path. The config file also wouldn't have to be manually updated, a command like mlt config
could also work.
from mltype.
- default number of chars to generate
- set key combination to exit
from mltype.
The config file logic was added in #89.
One can easily set defaults to all options for any of the commands of the CLI (e.g. number of characters)
Additionally, define any parameters inside of the general
section then can be read anywhere within the code
mltype.utils.get_config_file
. So there can be new pull requests using this logic.
from mltype.
Related Issues (20)
- Track pretrained models with DVC
- applying AI to improving weakness HOT 1
- Cannot run on Ubuntu 20.04.4 LTS on Windows (WSL)
- With a fresh install from pip on my VPS, attempting to run mlt with the Python training data throws numpy errors and halts. HOT 1
- Recommend using pipx HOT 3
- what's the point of the output results file? HOT 3
- Error when Installing on Windows HOT 7
- Dockerize this application for easy installation HOT 1
- Add CI on Windows
- Colors not displaying
- Multi-GPU and sampler do not work HOT 1
- Getting error during the installation HOT 2
- Hecate and correct coverage
- Run CI for fork PRs HOT 1
- New Model Request HOT 6
- TUI customization via config file HOT 1
- Tests need to assume empty config.ini by default
- Would it bother you to provide alternative download links for the models? HOT 7
- SQL Training HOT 2
- Sampling / training failure HOT 9
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from mltype.