HF Hub Embedding Model Selector

This node establishes a connection to a specific embedding model hosted on the Hugging Face Hub.

To use this node, you need to successfully authenticate with the Hugging Face Hub using the HF Hub Authenticator node.

Provide the name of the desired embeddings repository available on the Hugging Face Hub as an input.

Note: If you use the Credentials Configuration node and do not select the "Save password in configuration (weakly encrypted)" option for passing the API key, the Credentials Configuration node will need to be reconfigured upon reopening the workflow, as the credentials flow variable was not saved and will therefore not be available to downstream nodes.

Options

Repo ID

The model name to be used, in the format <organization_name>/<model_name>. For example, mistralai/Mistral-7B-Instruct-v0.3 for text generation, or sentence-transformers/all-MiniLM-L6-v2 for embedding model.

You can find available models at the Hugging Face Models repository.

Provider selection

Specify whether the Inference Provider is selected automatically or manually.

Available options:

  • Auto: The first provider that supports the model is selected automatically.
  • Manual: Allows to select a specific provider from a list of all providers.
Inference provider

The Inference Provider that runs the model. The HF Hub website shows for each model which providers are available.

Input Ports

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The authentication for the Hugging Face Hub.

Output Ports

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An embedding model connected to Hugging Face Hub.

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Links

Developers

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Installation

To use this node in KNIME, install the extension KNIME Python Extension Development (Labs) from the below update site following our NodePit Product and Node Installation Guide:

v5.9

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland
Plugin version: 5.9.0.v202511131614
On NodePit since: 2025-12-11
Last update: 2026-01-08
Tags: Modern UI
KNIME versions: Since v5.2

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