Automatic Speech Recognition
Transformers
Safetensors
Finnish
whisper
finnish
dialects
speech-recognition
lora
Eval Results (legacy)
Instructions to use GAIK-project/whisper-large-v3-fi-dialects with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GAIK-project/whisper-large-v3-fi-dialects with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GAIK-project/whisper-large-v3-fi-dialects")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("GAIK-project/whisper-large-v3-fi-dialects") model = AutoModelForSpeechSeq2Seq.from_pretrained("GAIK-project/whisper-large-v3-fi-dialects", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download dialect-ranking.svg from GAIK-project/whisper-large-v3-fi-dialects: direct link, hf CLI and curl.
- Browser
- Download file 88.9 kB
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https://huggingface.co/GAIK-project/whisper-large-v3-fi-dialects/resolve/main/dialect-ranking.svg
- Command line
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hf download hf://GAIK-project/whisper-large-v3-fi-dialects/dialect-ranking.svg
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curl -L -o dialect-ranking.svg https://huggingface.co/GAIK-project/whisper-large-v3-fi-dialects/resolve/main/dialect-ranking.svg
88.9 kB