Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Finnish
whisper
whisper-small
mozilla-foundation/common_voice_11_0
finnish
whisper-event
Instructions to use RASMUS/whisper-small-fi-15k_samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RASMUS/whisper-small-fi-15k_samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="RASMUS/whisper-small-fi-15k_samples")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("RASMUS/whisper-small-fi-15k_samples") model = AutoModelForSpeechSeq2Seq.from_pretrained("RASMUS/whisper-small-fi-15k_samples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
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