Skip to main content

Embeddings from Financial BERT

Project description

finbert_embedding

Token and sentence level embeddings from FinBERT model (Finance Domain)

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

finbert-embedding-0.1.1.tar.gz (3.8 kB view details)

Uploaded Source

Built Distribution

finbert_embedding-0.1.1-py3-none-any.whl (5.5 kB view details)

Uploaded Python 3

File details

Details for the file finbert-embedding-0.1.1.tar.gz.

File metadata

  • Download URL: finbert-embedding-0.1.1.tar.gz
  • Upload date:
  • Size: 3.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.3

File hashes

Hashes for finbert-embedding-0.1.1.tar.gz
Algorithm Hash digest
SHA256 c47c86f0a2850628603b760f9a6c08631e04a29fa3273b5191eee680c33b966c
MD5 f5ee2070368f7914688bd4c9ab3d7480
BLAKE2b-256 fb44d18a58e74aa865c25281a2313f52ba14ca8f62cc3a5e1c398ec47dff0ac2

See more details on using hashes here.

File details

Details for the file finbert_embedding-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: finbert_embedding-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 5.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.3

File hashes

Hashes for finbert_embedding-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 7855aa454ced7c44b4b1bc44eaf772997cf9ef77aa64f33bbe849f5d672b3f93
MD5 48a85d103eb4caaaf9499a7f8dfa440e
BLAKE2b-256 51a7864971852fa94ed190c80dc1a9c23c6939a4d9007787771b4e752678240c

See more details on using hashes here.

Supported by

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