---
library_name: peft
base_model: openai/whisper-large-v3
---

# Model Card for Model ID

As of our knowledge SOTA in swiss german with wer=14.269151618793657 and normalized_wer=12.800897299473698.


## Model Details

Trained on RTX 3070 for 30 hours using SwissDial all Dialects with following guide: https://github.com/Vaibhavs10/fast-whisper-finetuning/blob/main/Whisper_w_PEFT.ipynb

### Model Description

<!-- Provide a longer summary of what this model is. -->



- **Developed by:** Flurin17
- **Language(s) (NLP):** swiss-german
- **License:** IDK ask openai
- **Finetuned from model [optional]:** openai/whisper-large-v3

### Model Sources [optional]


## Uses

from transformers import AutomaticSpeechRecognitionPipeline
import torch
pipe = AutomaticSpeechRecognitionPipeline(model=model, tokenizer=tokenizer, feature_extractor=feature_extractor)

with torch.cuda.amp.autocast():
    result = pipe(r"L:\Coding\random\audio.mp3", generate_kwargs={"language": "german"})
print(result["text"])



### Framework versions

- PEFT 0.7.1