Instructions to use nizarmichaud/whisper-large-v3-turbo-swissgerman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nizarmichaud/whisper-large-v3-turbo-swissgerman with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nizarmichaud/whisper-large-v3-turbo-swissgerman")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nizarmichaud/whisper-large-v3-turbo-swissgerman") model = AutoModelForSpeechSeq2Seq.from_pretrained("nizarmichaud/whisper-large-v3-turbo-swissgerman", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -10,6 +10,12 @@ base_model:
|
|
| 10 |
pipeline_tag: automatic-speech-recognition
|
| 11 |
library_name: transformers
|
| 12 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
# Whisper Large V3 Turbo (Swiss German Fine-Tuned with QLoRa)
|
| 14 |
|
| 15 |
This repository contains a fine-tuned version of OpenAI's Whisper Large V3 Turbo model, adapted specifically for Swiss German dialects using QLoRa optimization. The model achieves state-of-the-art performance for Swiss German automatic speech recognition (ASR).
|
|
|
|
| 10 |
pipeline_tag: automatic-speech-recognition
|
| 11 |
library_name: transformers
|
| 12 |
---
|
| 13 |
+
|
| 14 |
+
# SCRUBBED REPOSITORY
|
| 15 |
+
# MODEL TAKEN DOWN
|
| 16 |
+
|
| 17 |
+
Due to some datasets' licenses the model had to be taken down.
|
| 18 |
+
|
| 19 |
# Whisper Large V3 Turbo (Swiss German Fine-Tuned with QLoRa)
|
| 20 |
|
| 21 |
This repository contains a fine-tuned version of OpenAI's Whisper Large V3 Turbo model, adapted specifically for Swiss German dialects using QLoRa optimization. The model achieves state-of-the-art performance for Swiss German automatic speech recognition (ASR).
|