---
title: whisper-small
canonical_url: "https://www.modelscope.cn/models/onnx-community/whisper-small"
md_url: "https://www.modelscope.cn/models/onnx-community/whisper-small.md"
repository: onnx-community/whisper-small
last_updated: 2025-06-19
model_type:
  - whisper
architectures:
  - WhisperForConditionalGeneration
base_model:
  - openai/whisper-small
base_model_relation: finetune
library_name:
  - onnx
  - pytorch
frameworks:
  - pytorch
inference_backends:
  - "deploy_task vlm/text/emb"
  - "vllm 0.9.2"
downloads: 1208
stars: 0
---

# whisper-small

> whisper-small - onnx-community 在 ModelScope 开源的模型。https://huggingface.co/openai/whisper-small with ONNX weights to be compatible with Transformers.js.

onnx-community/whisper-small 是 ModelScope 魔搭社区上的机器学习模型，基于 openai/whisper-small 构建，可用 deploy_task vlm/text/emb、vllm 0.9.2 部署。

- **Repository**: onnx-community/whisper-small
- **Base model**: openai/whisper-small
- **Inference backends**: deploy_task vlm/text/emb, vllm 0.9.2
- **Downloads**: 1208
- **Stars**: 0
- **Last updated**: 2025-06-19

Source: https://www.modelscope.cn/models/onnx-community/whisper-small

---

https://huggingface.co/openai/whisper-small with ONNX weights to be compatible with Transformers.js.

Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).