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")
# pip install -U transformers accelerate # 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")
https://huggingface.co/RASMUS/whisper-small-fi-15k_samples/resolve/main/README.md
hf download hf://RASMUS/whisper-small-fi-15k_samples/README.md
curl -L -o README.md https://huggingface.co/RASMUS/whisper-small-fi-15k_samples/resolve/main/README.md
language: fi tags: - whisper-small - mozilla-foundation/common_voice_11_0 - finnish - whisper-event metrics: wer license: creativeml-openrail-m
