Hugging Face

Hugging Face Embedder embeds documents using any embedding model hosted on Hugging Face’s Inference API.

Parameter	Type	Description	Default
`id`	`str`	The model ID to use for embeddings	`"intfloat/multilingual-e5-large"`
`dimensions`	`Optional[int]`	Output dimensions of the embedding	`1536`
`api_key`	`Optional[str]`	Huggingface API key	Environment variable `HUGGINGFACE_API_KEY`
`client_params`	`Optional[Dict[str, Any]]`	Additional parameters for client initialization	`None`
`huggingface_client`	`Optional[InferenceClient]`	Pre-configured Huggingface client	`None`
`async_client`	`Optional[AsyncInferenceClient]`	Pre-configured async Huggingface client	`None`
`enable_batch`	`bool`	Has no effect. Batch embedding is unsupported and the flag is reset to `False`	`False`
`batch_size`	`int`	Number of texts per batch. Unused by this embedder	`100`

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