Skip to main content

easy way to use llm watermarking techniques

Project description

this is the initial version for myself usage

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

llm_watermark_utils-0.1.9.tar.gz (1.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

llm_watermark_utils-0.1.9-py3-none-any.whl (1.4 kB view details)

Uploaded Python 3

File details

Details for the file llm_watermark_utils-0.1.9.tar.gz.

File metadata

  • Download URL: llm_watermark_utils-0.1.9.tar.gz
  • Upload date:
  • Size: 1.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for llm_watermark_utils-0.1.9.tar.gz
Algorithm Hash digest
SHA256 b9cc725b8568b1a83fbf875790376dfbe51149185d7953716818bb96bf351d7f
MD5 a0420debb7ffd7440287adc64ddabe29
BLAKE2b-256 4c5e7adc1bec252a09555bf0eeba399c45c9d97350be1adb976ff1772644e033

See more details on using hashes here.

File details

Details for the file llm_watermark_utils-0.1.9-py3-none-any.whl.

File metadata

File hashes

Hashes for llm_watermark_utils-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 af94cfabab534d7926a9c7135d0d7e4364aaa7f555fc689ab09335826641c2b0
MD5 f967ec76c397b5acc57a89807d58123d
BLAKE2b-256 28ae03a71beccc12b866e913949e21a5157d78c56b2fbc906dbf73e9c5babfc9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page