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
Detailed description of model training/evaluation (publication/thesis?)
1
#3 opened over 1 year ago
by
verenablaschke
How to use - transcriptions seems hit and miss too often?
4
#2 opened over 1 year ago
by
chrisoutwright
Question regarding model evaluation
3
#1 opened over 1 year ago
by
marcoullmann