Skip to main content

The library is built as a subclass of Huggingface’s Trainer, tailored for encoder-style fine-tuning of generative transformer models on sequence classification tasks. It enhances the standard training loop with features like a dedicated classification head, RAG (Retrieval-Augmented Generation) integrated predictions, and label-balanced batch sampling. The framework also includes advanced callbacks for improved experiment monitoring and real-time notifications.

Project description

The author of this package has not provided a project description

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

genai4seqcls-1.0.3.tar.gz (17.8 kB view details)

Uploaded Source

Built Distribution

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

genai4seqcls-1.0.3-py3-none-any.whl (16.3 kB view details)

Uploaded Python 3

File details

Details for the file genai4seqcls-1.0.3.tar.gz.

File metadata

  • Download URL: genai4seqcls-1.0.3.tar.gz
  • Upload date:
  • Size: 17.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for genai4seqcls-1.0.3.tar.gz
Algorithm Hash digest
SHA256 c5d5ef551213b404c0c572205da7797f7a6b83822188c9b46e2ed22370a3cdcb
MD5 f767124bc155e292ddbdcc35ced35797
BLAKE2b-256 b30ec5a25dd43771c2437b1c2d516024e17be6ce16960493e35d70938ec85303

See more details on using hashes here.

Provenance

The following attestation bundles were made for genai4seqcls-1.0.3.tar.gz:

Publisher: python-publish.yml on mbnczy/GenAI4SeqCls

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file genai4seqcls-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: genai4seqcls-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 16.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for genai4seqcls-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 924b4bfbd5d43221c06d316b865ab964d70736b0edf8929b6c3447ea52c5b5cf
MD5 54eefd90e4c66175663084ecf17f4ae4
BLAKE2b-256 4c3eea4857278c283bcea3e63492310adfee153a94c6c4fb3dd0a662d16ca198

See more details on using hashes here.

Provenance

The following attestation bundles were made for genai4seqcls-1.0.3-py3-none-any.whl:

Publisher: python-publish.yml on mbnczy/GenAI4SeqCls

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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