LM Identifier
With a surge of generative pretrained language models, it is becoming increasingly important to distinguish between human and AI-generated text. Inspired by GPTZero, an app that seeks to detect AI-generated text, LM Identifier pokes at this question even further by providing a growing suite of tools to help identify which (publicly available) language model might have been used to generate some given chunck of text.
Installation
LM Identifier is available on PyPI.
$ pip install lm-identifier
To develop locally, first install pre-commit:
$ pip install --upgrade pip wheel
$ pip install pre-commit
$ pre-commit install
Install the package in editable mode.
pip install -e .
Usages
WIP
1 maintainer
Metadata
1 maintainer
Release files for lm-identifier 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| lm_identifier-0.0.1.tar.gz | 3.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lm_identifier-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.7 kB
Release files / lm_identifier-0.0.1.tar.gz
| Download URL | lm_identifier-0.0.1.tar.gz |
|---|---|
| Size | 3.2 kB |
| Tags | Source |
|
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 |
poetry/1.3.1 CPython/3.8.16 Darwin/21.6.0
|
Release files / lm_identifier-0.0.1-py3-none-any.whl
| Download URL | lm_identifier-0.0.1-py3-none-any.whl |
|---|---|
| Size | 3.6 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 |
poetry/1.3.1 CPython/3.8.16 Darwin/21.6.0
|
Security for lm-identifier 0.0.1
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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