---
license: apache-2.0
language:
- en
- multilingual
pipeline_tag: automatic-speech-recognition
library_name: pruna
tags:
- pruna
- whisper
- speech-recognition
base_model:
- unsloth/whisper-large-v3-turbo
---

# Whisper Large V3 Turbo - Pruna Smashed

# Note: if model loading fails, move the tokenizer and preprocessor config to the root directory
**Pruna-optimized version of Whisper Large V3 Turbo**. Compressed with c_whisper compiler for faster inference and lower VRAM usage, same transcription quality.

## Usage

**Best performance:**
```
from pruna import PrunaModel
model = PrunaModel.from_pretrained("manohar03/unsloth-whisper-large-v3-turbo-pruna-smashed")
result = model("audio.wav")
```

**Standard transformers:**
```
from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor
model = AutoModelForSpeechSeq2Seq.from_pretrained("manohar03/unsloth-whisper-large-v3-turbo-pruna-smashed")
processor = AutoProcessor.from_pretrained("manohar03/unsloth-whisper-large-v3-turbo-pruna-smashed")
```

Tested on T4 GPU.
```