Automatic Speech Recognition
NeMo
Finnish
asr
speech-recognition
canary-v2
kenlm
finnish
Eval Results (legacy)
Instructions to use RASMUS/Finnish-ASR-Canary-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use RASMUS/Finnish-ASR-Canary-v2 with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("RASMUS/Finnish-ASR-Canary-v2") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download NeMo/docs/update_docs_docker.sh from RASMUS/Finnish-ASR-Canary-v2: direct link, hf CLI and curl.
- Browser
- Download file 322 Bytes
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https://huggingface.co/RASMUS/Finnish-ASR-Canary-v2/resolve/main/NeMo/docs/update_docs_docker.sh
- Command line
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hf download hf://RASMUS/Finnish-ASR-Canary-v2/NeMo/docs/update_docs_docker.sh
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curl -L -o update_docs_docker.sh https://huggingface.co/RASMUS/Finnish-ASR-Canary-v2/resolve/main/NeMo/docs/update_docs_docker.sh
322 Bytes
| cd ../ | |
| docker run --rm -v $PWD:/workspace python:3.10 /bin/bash -c "cd /workspace && \ | |
| pip install -r requirements/requirements_docs.txt && cd docs/ && rm -rf build && make clean && make html && make html" | |
| echo "To start web server just run in docs directory:" | |
| echo "python3 -m http.server 8000 --directory ./build/html/" | |