DonutLLMCore

Name	DonutLLMCore JSON
Version	1.0.0 JSON
	download
home_page	https://github.com/gauthamnair2005/donutllmcore
Summary	Core library for training PyTorch model in Donut-LLM-Tools
upload_time	2024-05-28 13:44:55
maintainer	None
docs_url	None
author	Gautham Nair
requires_python	<3.12,>=3.9
license	MIT License Copyright (c) 2024 Gautham Nair Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
keywords	ai ml train model dataset
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Donut LLM Core Library
This library will be used by future versions of Donut-LLM-Tools, instead of CreateLLM library.

## Usage
### LLM Creation
```python
import DonutLLMCore
model = DonutLLMCore.ModelTrainer(path,max_iters=100)
model = model.trainer()
```

### LLM Usage
```python
import DonutLLMCore
path = input("Enter the path of the model : ")
model = DonutLLMCore.LLMModel(path)
prompt = input("Enter prompt : ")
print(model.generate(prompt))
```

            

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