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-0.0.6.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-0.0.6-py3-none-any.whl (11.0 kB view details)

Uploaded Python 3

File details

Details for the file balinese_embeddingvector-0.0.6.tar.gz.

File metadata

  • Download URL: balinese_embeddingvector-0.0.6.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-0.0.6.tar.gz
Algorithm Hash digest
SHA256 89e5cfe7481a9e0462865778c0107db87ecaa373c9b431d7d0f295f220787da1
MD5 c7cf13c2db558c9836f8a368cb2b25c7
BLAKE2b-256 affe901d1317668372150f8d4d4c91e381bf7292c5cc0195f08fbc9fa49f82fc

See more details on using hashes here.

Provenance

The following attestation bundles were made for balinese_embeddingvector-0.0.6.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-0.0.6-py3-none-any.whl.

File metadata

File hashes

Hashes for balinese_embeddingvector-0.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 b9e6e074c325ad4b2a6dc09ea1792594f63d7d92cbd021c914f969fe3c93bdb7
MD5 3def869c167c4afcd08fda53382bec28
BLAKE2b-256 7f46f28ce5c51b1503a634e728205ba910b5829abb49273f59cd5d9597859670

See more details on using hashes here.

Provenance

The following attestation bundles were made for balinese_embeddingvector-0.0.6-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