Class PutHuggingFaceRequest

java.lang.Object
co.elastic.clients.elasticsearch._types.RequestBase
co.elastic.clients.elasticsearch.inference.PutHuggingFaceRequest
All Implemented Interfaces:
JsonpSerializable

@JsonpDeserializable public class PutHuggingFaceRequest extends RequestBase implements JsonpSerializable
Create a Hugging Face inference endpoint.

Create an inference endpoint to perform an inference task with the hugging_face service. Supported tasks include: text_embedding, completion, and chat_completion.

To configure the endpoint, first visit the Hugging Face Inference Endpoints page and create a new endpoint. Select a model that supports the task you intend to use.

For Elastic's text_embedding task: The selected model must support the Sentence Embeddings task. On the new endpoint creation page, select the Sentence Embeddings task under the Advanced Configuration section. After the endpoint has initialized, copy the generated endpoint URL. Recommended models for text_embedding task:

  • all-MiniLM-L6-v2
  • all-MiniLM-L12-v2
  • all-mpnet-base-v2
  • e5-base-v2
  • e5-small-v2
  • multilingual-e5-base
  • multilingual-e5-small

For Elastic's chat_completion and completion tasks: The selected model must support the Text Generation task and expose OpenAI API. HuggingFace supports both serverless and dedicated endpoints for Text Generation. When creating dedicated endpoint select the Text Generation task. After the endpoint is initialized (for dedicated) or ready (for serverless), ensure it supports the OpenAI API and includes /v1/chat/completions part in URL. Then, copy the full endpoint URL for use. Recommended models for chat_completion and completion tasks:

  • Mistral-7B-Instruct-v0.2
  • QwQ-32B
  • Phi-3-mini-128k-instruct

For Elastic's rerank task: The selected model must support the sentence-ranking task and expose OpenAI API. HuggingFace supports only dedicated (not serverless) endpoints for Rerank so far. After the endpoint is initialized, copy the full endpoint URL for use. Tested models for rerank task:

  • bge-reranker-base
  • jina-reranker-v1-turbo-en-GGUF
See Also: