# Accelerate Whisper on Arm with Hugging Face Transformers

## In this learning path

- [Introduction](https://learn.arm.com/learning-paths/servers-and-cloud-computing/whisper/)
- [Demo](https://learn.arm.com/learning-paths/servers-and-cloud-computing/whisper/_demo/)
- [Set up the Whisper Model](https://learn.arm.com/learning-paths/servers-and-cloud-computing/whisper/whisper/)
- [Run the Whisper Model](https://learn.arm.com/learning-paths/servers-and-cloud-computing/whisper/whisper_deploy/)
- [Next Steps](https://learn.arm.com/learning-paths/servers-and-cloud-computing/whisper/_next-steps/)

## About this Learning Path

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| Skill level: | Introductory |
| Reading time: | 15 min |
| Last updated: | 09 Sep 2026 |

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| Author: | Nobel Chowdary Mandepudi , Arm |
| Arm IP: | [Neoverse](https://support.arm.com/?tab=compute-ip&Product%20Type=Infrastructure%20Processors) |
| Tags: | [ML](https://learn.arm.com/tag/ml) [AWS Graviton](https://learn.arm.com/tag/aws-graviton) [Microsoft Azure Cobalt](https://learn.arm.com/tag/microsoft-azure-cobalt) [Google Axion](https://learn.arm.com/tag/google-axion) [Oracle Cloud Infrastructure (OCI) Ampere Compute](https://learn.arm.com/tag/oracle-cloud-infrastructure-oci-ampere-compute) [Linux](https://learn.arm.com/tag/linux) [Python](https://learn.arm.com/tag/python) [Whisper](https://learn.arm.com/tag/whisper) [Demo](https://learn.arm.com/tag/demo) [Hugging Face](https://learn.arm.com/tag/hugging-face) |

### Who is this for?
This Learning Path is for software developers familiar with basic machine learning concepts and looking to run the OpenAI Whisper Automatic Speech Recognition (ASR) model efficiently, using an Arm-based cloud instance.

### What will you learn?
After completing this Learning Path, you'll be able to perform the following tasks:

- Install the dependencies for the Whisper ASR Model.
- Run the Whisper model using Hugging Face Transformers.
- Enable performance-enhancing features for running the model on Arm CPUs.
- Evaluate transcript generation times using Whisper.

### Prerequisites
Before starting, you'll need the following prerequisites:

- An [Arm-based compute instance](https://learn.arm.com/learning-paths/servers-and-cloud-computing/intro/) running Ubuntu with 32 cores, 8GB of RAM, and 32GB of disk space.
- Basic knowledge of Python.
- Familiarity with machine learning concepts.
- Familiarity with the fundamentals of the Whisper ASR Model.