Predecons-GUI
Predecons-GUI is a gradio based front end for predecons a ml tool for building / transferlearning llms
Installation
pip install predacons-gui
Usage
import predacons_gui
predacons_gui.launch()
predacons-gui
Features
- Gradio based front end
- Predecons based backend
- abitly to load, save and train over hugging face models
- abitly to test and train over custom models and any hugging face model
Screenshots
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate.
License
Release files for predacons-gui 0.0.107
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| predacons_gui-0.0.107.tar.gz | 17.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| predacons_gui-0.0.107-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.9 kB
Release files / predacons_gui-0.0.107.tar.gz
| Download URL | predacons_gui-0.0.107.tar.gz |
|---|---|
| Size | 17.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.9.20
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Release files / predacons_gui-0.0.107-py3-none-any.whl
| Download URL | predacons_gui-0.0.107-py3-none-any.whl |
|---|---|
| Size | 18.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.20
|