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-0.1.0.tar.gz (63.6 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-0.1.0-py3-none-any.whl (109.8 kB view details)

Uploaded Python 3

File details

Details for the file llm_watermark_utils-0.1.0.tar.gz.

File metadata

  • Download URL: llm_watermark_utils-0.1.0.tar.gz
  • Upload date:
  • Size: 63.6 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-0.1.0.tar.gz
Algorithm Hash digest
SHA256 3b1b692953c6bd5707e6c9e9466c977fc66407a4e217d122f8f982544d13270e
MD5 4eae186fa44642b79d92389eeff24fa4
BLAKE2b-256 1ae731148b5cdee0e7e9ccc287fd70d11de63e542e18599cbdcb06cb3183e8c2

See more details on using hashes here.

File details

Details for the file llm_watermark_utils-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for llm_watermark_utils-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8b19d3f7dd3d6889277d5a5fbc88ec599b022d8f408128e7d214cc08408c4b64
MD5 5f43743b952a4685aa009e7f07f40bca
BLAKE2b-256 5dd7b2024b843cf5659c759dc979b0fea7530d160b55371490aa5f570b5c16fc

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