Skip to main content

import

from lora_textnormalization import spacy_process

Usage

normalized = spacy_process("Markov's long text")

Output

list['Markov', 'long', 'text']

Metadata

Release files for lora-textnormalization 0.1.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for lora-textnormalization 0.1.4
File Size Uploaded Provenance Actions
lora_textnormalization-0.1.4.tar.gz 1.6 kB Without provenance Details for lora_textnormalization-0.1.4.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for lora-textnormalization 0.1.4
File Interpreter ABI Platform Actions
lora_textnormalization-0.1.4-py3-none-any.whl Python 3 none any Details for lora_textnormalization-0.1.4-py3-none-any.whl

Total release size: 3.6 kB

Release files / lora_textnormalization-0.1.4.tar.gz

Download URL lora_textnormalization-0.1.4.tar.gz
Size 1.6 kB
Tags Source
SHA-256 checksum
How to use checksums
46ff646e22a42ef7da5be4872230502d1a58a4b6ccc2c09ced51b8d6e190b56f
BLAKE2b-256 checksum
How to use checksums
2cb743daad4aa6a9c3e66c7f5e80435e57024b7df76f6770a9feaa44812b44c9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.2.2 CPython/3.7.10 Linux/5.15.0-41-generic

Release files / lora_textnormalization-0.1.4-py3-none-any.whl

Download URL lora_textnormalization-0.1.4-py3-none-any.whl
Size 2.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
05c3decee6fac287ed50dd52796629681405fe26ab421fa3c2c6a91fb9103e93
BLAKE2b-256 checksum
How to use checksums
0566869be53a1b567474457f783a6141090720fe924bf9dd33d124c425ed258d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.2.2 CPython/3.7.10 Linux/5.15.0-41-generic

Security for lora-textnormalization 0.1.4

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page