---
library_name: aneforge
license: apache-2.0
base_model: openai/whisper-base.en
pipeline_tag: automatic-speech-recognition
tags:
- aneforge
- apple-neural-engine
---

# Whisper base.en (ANEForge)

An unmodified duplicate of [`openai/whisper-base.en`](https://huggingface.co/openai/whisper-base.en), tagged for use with
[**ANEForge**](https://github.com/sbryngelson/ANEForge) so the weights load and run directly on the
Apple Neural Engine (no CoreML). Weights are byte-identical to the source; see the original repo for
the model details. Licensed `apache-2.0` from the source.

## Use with ANEForge

```python
import aneforge as af

asr = af.load_whisper("aneforge/whisper-base.en")
print(asr.transcribe(audio))        # 16 kHz mono waveform -> transcript
```

ANEForge compiles the model's graph into a single ANE program and streams the weights from this repo
via `huggingface_hub`. See the [docs](https://aneforge.readthedocs.io) and the
[paper](https://arxiv.org/abs/2606.17090).