Skip to main content

A Python package for utilizing Pretrained Balinese Word Embedding Model using FastText, Word2Vec, Glove, and BERT

Project description

Pretrained Balinese Word Embedding Model using FastText, Word2Vec, Glove, and BERT

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

balinese_embeddingvector-0.0.7.tar.gz (10.7 kB view details)

Uploaded Source

Built Distribution

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

balinese_embeddingvector-0.0.7-py3-none-any.whl (11.0 kB view details)

Uploaded Python 3

File details

Details for the file balinese_embeddingvector-0.0.7.tar.gz.

File metadata

  • Download URL: balinese_embeddingvector-0.0.7.tar.gz
  • Upload date:
  • Size: 10.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for balinese_embeddingvector-0.0.7.tar.gz
Algorithm Hash digest
SHA256 48410ba6929f2c3059ddf9b694b8304073258401dd311339c95f7c6442c13722
MD5 e7925c8b44822635e3f5cc99ec35b7ff
BLAKE2b-256 1c3177d0467628b61a09782df35e41ddc82cc9aa6aa12144b376e08b5fd853a5

See more details on using hashes here.

Provenance

The following attestation bundles were made for balinese_embeddingvector-0.0.7.tar.gz:

Publisher: publish.yml on satriabimantara/balinese_embeddingvector

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

File details

Details for the file balinese_embeddingvector-0.0.7-py3-none-any.whl.

File metadata

File hashes

Hashes for balinese_embeddingvector-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 bbe5099813d0f08825f121061bdc1681da0d2d20a0b8e0508772e5e77d64bfec
MD5 e2f0863c6588bf9fb1c293880068af59
BLAKE2b-256 27c2071c8df68b93b6c8d6c1ed3c28084bf04e04eb1a7e9577b27bdfbcf99dd5

See more details on using hashes here.

Provenance

The following attestation bundles were made for balinese_embeddingvector-0.0.7-py3-none-any.whl:

Publisher: publish.yml on satriabimantara/balinese_embeddingvector

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