---
title: "Text Embeddings Inference endpoint info"
method: GET
path: "/info"
tags: ["Text Embeddings Inference"]
---

# Text Embeddings Inference endpoint info

`GET /info`

## Response `200`

Served model info

- Info
  - `auto_truncate` boolean, required
  - `docker_label` string, nullable
  - `max_batch_requests` integer, nullable
  - `max_batch_tokens` integer, required
  - `max_client_batch_size` integer, required
  - `max_concurrent_requests` integer, required — Router Parameters
  - `max_input_length` integer, required
  - `model_dtype` string, required
  - `model_id` string, required — Model info
  - `model_sha` string, nullable
  - `model_type` union, required
    - object
      - `classifier` ClassifierModel, required
        - `id2label` object, required
        - `label2id` object, required
    - object
      - `embedding` EmbeddingModel, required
        - `pooling` string, required
    - object
      - `reranker` ClassifierModel, required
        - `id2label` object, required
        - `label2id` object, required
  - `served_model_name` string, required
  - `sha` string, nullable
  - `tokenization_workers` integer, required
  - `version` string, required — Router Info

---

[API](https://skmtc.net/huggingface/apis/text-embeddings-inference.md) · [All operations](https://skmtc.net/huggingface/apis/text-embeddings-inference/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/huggingface/text-embeddings-inference/versions/f4c15add6d2b/schema)