Instructions to use mhenrichsen/hviske with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mhenrichsen/hviske with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mhenrichsen/hviske")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mhenrichsen/hviske") model = AutoModelForSpeechSeq2Seq.from_pretrained("mhenrichsen/hviske") - Notebooks
- Google Colab
- Kaggle
unintended switching between languages in ASR output
#5 opened almost 2 years ago
by
KRummens
training data and evaluation data
#4 opened almost 2 years ago
by
ElectronicFoobar
Training parameters and training setup?
2
#3 opened over 2 years ago
by
ymir95
Cannot load model
3
#1 opened over 2 years ago
by
andersgb1