Skip to main content

A plugin for Enthusiast that provides a Google Gemini connector.

Project description

Google models

This Enthusiast plugin enables Google models for generating embeddings and LLMs

1. Install the enthusiast-model-google package using pip:

pip install enthusiast-model-google

3. Set environment variable

GOOGLE_API_KEY=<your_gemini_api_key>

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

enthusiast_model_google-1.1.1.tar.gz (1.6 kB view details)

Uploaded Source

Built Distribution

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

enthusiast_model_google-1.1.1-py3-none-any.whl (2.9 kB view details)

Uploaded Python 3

File details

Details for the file enthusiast_model_google-1.1.1.tar.gz.

File metadata

  • Download URL: enthusiast_model_google-1.1.1.tar.gz
  • Upload date:
  • Size: 1.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.12.11 Linux/6.11.0-1018-azure

File hashes

Hashes for enthusiast_model_google-1.1.1.tar.gz
Algorithm Hash digest
SHA256 7c8556b72d4463f0a84bf3f839bb83c15cf0fc6d8a6b740acc9e9aa5cde6e768
MD5 9d1de7379efd0b118c21810d20914012
BLAKE2b-256 25e77928bf8551808c8576d46d69d211ed8c6893c19cca880f7b8cf9121bc4fd

See more details on using hashes here.

File details

Details for the file enthusiast_model_google-1.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for enthusiast_model_google-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 96f6f11c149793932d72b8e7cc85e94b5fd5ec27f7c3d504181d479d19af7062
MD5 1803fb38d385c16eeb9b2c48176a2c3f
BLAKE2b-256 1027d6ad53d6f0fccfb79591da58c42e430604d43d87ebad47e6a5be631922df

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