Automatic Speech Recognition
Transformers
Safetensors
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use Finnish-NLP/whisper-tiny-finnish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Finnish-NLP/whisper-tiny-finnish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Finnish-NLP/whisper-tiny-finnish")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Finnish-NLP/whisper-tiny-finnish") model = AutoModelForSpeechSeq2Seq.from_pretrained("Finnish-NLP/whisper-tiny-finnish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77dab0b70ff1d2543bd392626dd993d7bb0b4cb207917d5705a37ee321c7b6dc
- Size of remote file:
- 4.92 kB
- SHA256:
- 913e4ad49951048bc08a2b671fdccc3aea99b25e0ca9a2458143f79ffef019d3
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