{
  "name": "embeddingshuggingfaceinference",
  "display_name": "Embeddings Hugging Face Inference",
  "description": "Use HuggingFace Inference Embeddings",
  "group": [
    "transform"
  ],
  "versions": [
    1.0
  ],
  "inputs": 1,
  "outputs": 1,
  "credentials": [
    {
      "name": "huggingFaceApi",
      "required": true
    }
  ],
  "properties": [
    {
      "name": "notice",
      "display_name": "Each model is using different dimensional density for embeddings. Please make sure to use the same dimensionality for your vector store. The default model is using 768-dimensional embeddings.",
      "kind": "notice",
      "required": false,
      "default": ""
    },
    {
      "name": "modelName",
      "display_name": "Model Name",
      "kind": "string",
      "required": false,
      "default": "sentence-transformers/distilbert-base-nli-mean-tokens",
      "description": "The model name to use from HuggingFace library"
    },
    {
      "name": "options",
      "display_name": "Options",
      "kind": "collection",
      "required": false,
      "default": "",
      "description": "Additional options to add"
    }
  ],
  "source_path": "/home/mcochran/n8n/packages/@n8n/nodes-langchain/nodes/embeddings/EmbeddingsHuggingFaceInference/EmbeddingsHuggingFaceInference.node.ts"
}