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/source/tts/data/ngc_models_e2e.csv from RASMUS/Finnish-ASR-Canary-v2: direct link, hf CLI and curl.
- Browser
- Download file 358 Bytes
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https://huggingface.co/RASMUS/Finnish-ASR-Canary-v2/resolve/main/NeMo/docs/source/tts/data/ngc_models_e2e.csv
- Command line
-
hf download hf://RASMUS/Finnish-ASR-Canary-v2/NeMo/docs/source/tts/data/ngc_models_e2e.csv
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curl -L -o ngc_models_e2e.csv https://huggingface.co/RASMUS/Finnish-ASR-Canary-v2/resolve/main/NeMo/docs/source/tts/data/ngc_models_e2e.csv
358 Bytes
| Locale,Model Name,Dataset,Sampling Rate,#Spk,Model Class,Overview,Checkpoint | |
| en-US,tts_en_mixertts,LJSpeech,22050Hz,1,nemo.collections.tts.models.MixerTTSModel,`tts_en_mixertts <https://ngc.nvidia.com/catalog/models/nvidia:nemo:tts_en_mixertts>`_,``https://api.ngc.nvidia.com/v2/models/nvidia/nemo/tts_en_mixertts/versions/1.0.0/files/tts_en_mixertts.nemo`` | |