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
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Download NeMo/tutorials/cloud/README.md from RASMUS/Finnish-ASR-Canary-v2: direct link, hf CLI and curl.
- Browser
- Download file 284 Bytes
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https://huggingface.co/RASMUS/Finnish-ASR-Canary-v2/resolve/main/NeMo/tutorials/cloud/README.md
- Command line
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hf download hf://RASMUS/Finnish-ASR-Canary-v2/NeMo/tutorials/cloud/README.md
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curl -L -o README.md https://huggingface.co/RASMUS/Finnish-ASR-Canary-v2/resolve/main/NeMo/tutorials/cloud/README.md
284 Bytes
| # NeMo Cloud Tutorials | |
| The best way to get started with NeMo in the cloud. | |
| ## ASR | |
| * [Quickstart: Training an ASR model on AWS SageMaker](aws/SageMaker_ASR_Training.ipynb) | |
| * [Multi-Node Scaling: ASR Fine-Tuning on AWS SageMaker](aws/ASR_Finetuning_at_Scale_with_AWS_SageMaker.ipynb) | |