acace_token_weightor
Assigns importance weights to tokens using NLP heuristics for compression prioritization.
Installation
pip install acace_token_weightor
Features
- Core functionality for ACACE
- Integration with other ACACE components
- Standardized interfaces
Usage
from acace_token_weightor import main_function
result = main_function()
Documentation
Detailed documentation can be found in the docs directory.
Integration with ACACE
This package is designed to work seamlessly with the main ACACE library.
License
MIT License
Metadata
Release files for acace-token-weightor 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| acace_token_weightor-0.1.1.tar.gz | 1.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| acace_token_weightor-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.2 kB
Release files / acace_token_weightor-0.1.1.tar.gz
| Download URL | acace_token_weightor-0.1.1.tar.gz |
|---|---|
| Size | 1.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.9.6
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Release files / acace_token_weightor-0.1.1-py3-none-any.whl
| Download URL | acace_token_weightor-0.1.1-py3-none-any.whl |
|---|---|
| Size | 2.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.6
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