Automatic Speech Recognition
Transformers
Safetensors
whisper
speech-recognition
stt
german
austrian-german
loRA
fine-tuned
Instructions to use chris365312/whisper-large-v3-de-at with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chris365312/whisper-large-v3-de-at with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="chris365312/whisper-large-v3-de-at")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("chris365312/whisper-large-v3-de-at") model = AutoModelForSpeechSeq2Seq.from_pretrained("chris365312/whisper-large-v3-de-at", device_map="auto") - Notebooks
- Google Colab
- Kaggle