Skip to main content

Templates to generate and/or extract text and image embeddings using HuggingFace

Project description




Sinapsis Hugging Face Embeddings

Templates for seamless integration with Hugging Face embedding models

🐍 Installation📦 Features📦 Example usage📙 Documentation🔍 License

🐍 Installation

Install using your package manager of choice. We encourage the use of uv

Example with uv:

  uv pip install sinapsis-huggingface-embeddings --extra-index-url https://pypi.sinapsis.tech

or with raw pip:

  pip install sinapsis-huggingface-embeddings --extra-index-url https://pypi.sinapsis.tech

Change the name of the package for the one you want to install.

[!IMPORTANT] Templates in each package may require extra dependencies. For development, we recommend installing the package with all the optional dependencies:

with uv:

  uv pip install sinapsis-huggingface-embeddings[all] --extra-index-url https://pypi.sinapsis.tech

or with raw pip:

  pip install sinapsis-huggingface-embeddings[all] --extra-index-url https://pypi.sinapsis.tech

📦 Features

The templates in this package include multiple templates tailored for different embedding-based tasks:

  • SpeakerEmbeddingFromAudio: Extracts speaker embeddings from audio data and attaches them to text or audio packets.
  • SpeakerEmbeddingFromDataset: Retrieves speaker embeddings from Hugging Face datasets and integrates them into a DataContainer.
  • HuggingFaceEmbeddingNodeGenerator: Generates text embeddings, splits documents into chunks, and processes them with metadata.

▶️ Example Usage

Below is an example YAML configuration for extracting speaker embeddings from an audio file and attaching them to text packets.

Config
agent:
  name: embeddings_agent

templates:
  - template_name: InputTemplate
    class_name: InputTemplate
    attributes: {}

  - template_name: TextInput
    class_name: TextInput
    template_input: InputTemplate
    attributes:
      text: This is a test to check how the model works with a normal voice like mine.

  - template_name: AudioReaderSoundfile
    class_name: AudioReaderSoundfile
    template_input: TextInput
    attributes:
      audio_file_path: test.mp3

  - template_name: SpeakerEmbeddingFromAudio
    class_name: SpeakerEmbeddingFromAudio
    template_input: AudioReaderSoundfile
    attributes:
      target_packet: texts

[!IMPORTANT] The TextInput and AudioReaderSoundfile templates correspond to the sinapsis-data-readers package. If you want to use the example, please make sure you install this package.

To run the config, use the CLI:

sinapsis run name_of_config.yml

📙 Documentation

Documentation is available on the sinapsis website

Tutorials for different projects within sinapsis are available at sinapsis tutorials page

🔍 License

This project is licensed under the AGPLv3 license, which encourages open collaboration and sharing. For more details, please refer to the LICENSE file.

For commercial use, please refer to our official Sinapsis website for information on obtaining a commercial license.

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

sinapsis_huggingface_embeddings-0.1.0.tar.gz (43.8 kB view details)

Uploaded Source

Built Distribution

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

sinapsis_huggingface_embeddings-0.1.0-py3-none-any.whl (32.8 kB view details)

Uploaded Python 3

File details

Details for the file sinapsis_huggingface_embeddings-0.1.0.tar.gz.

File metadata

File hashes

Hashes for sinapsis_huggingface_embeddings-0.1.0.tar.gz
Algorithm Hash digest
SHA256 21cc8701ab26550b29b1ef5ec7a7332e22121096575c77a455e1c1013f7d5327
MD5 b9f4882f7539d352cce8e98e6b1b50a8
BLAKE2b-256 7cc68f68e92a755a7bb85ba2cc224af6203e8c8eba46339b29b9b3f170904291

See more details on using hashes here.

File details

Details for the file sinapsis_huggingface_embeddings-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for sinapsis_huggingface_embeddings-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b8fca4cef22937f07da47bea9394d0e2ec062864edbad89ae2154d7414e628f1
MD5 1aeb711dc79e913bfbc7456507b9fb50
BLAKE2b-256 96b20ac7b897372fa03bc9817696f42b198898b395fa27743b823f20fa139e7d

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