Instructions to use RASMUS/Whisper_Finnish_finetuned_small_200k_samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RASMUS/Whisper_Finnish_finetuned_small_200k_samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="RASMUS/Whisper_Finnish_finetuned_small_200k_samples")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("RASMUS/Whisper_Finnish_finetuned_small_200k_samples") model = AutoModelForSpeechSeq2Seq.from_pretrained("RASMUS/Whisper_Finnish_finetuned_small_200k_samples") - Notebooks
- Google Colab
- Kaggle