Donut LLM Core Library
This library will be used by future versions of Donut-LLM-Tools, instead of CreateLLM library.
Usage
LLM Creation
import DonutLLMCore
model = DonutLLMCore.ModelTrainer(path,max_iters=100)
model = model.trainer()
LLM Usage
import DonutLLMCore
path = input("Enter the path of the model : ")
model = DonutLLMCore.LLMModel(path)
prompt = input("Enter prompt : ")
print(model.generate(prompt))
1 maintainer
Metadata
1 maintainer
Release files for DonutLLMCore 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| donutllmcore-1.0.0.tar.gz | 7.2 kB | Without provenance | Details for donutllmcore-1.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| DonutLLMCore-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for DonutLLMCore-1.0.0-py3-none-any.whl |
Total release size: 14.7 kB
Release files / donutllmcore-1.0.0.tar.gz
| Download URL | donutllmcore-1.0.0.tar.gz |
|---|---|
| Size | 7.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.11.9
|
Release files / DonutLLMCore-1.0.0-py3-none-any.whl
| Download URL | DonutLLMCore-1.0.0-py3-none-any.whl |
|---|---|
| Size | 7.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.11.9
|
Security for DonutLLMCore 1.0.0
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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