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
Ctrl+K
- asr_context_biasing
- asr_language_modeling
- audio_to_audio
- avlm
- checkpoint_averaging
- dataset_processing
- dit
- fid-eval-text2img
- flux
- freesound_download_resample
- information_retrieval
- installers
- llm
- magpietts
- metric_calculation
- multimodal_dataset_conversion
- performance
- pseudo_labeling
- speaker_tasks
- speech_llm
- speech_recognition
- speechlm2
- ssl
- ssl_tts
- text_normalization_dataset_files
- tokenizers
- tts_dataset_files
- vlm
- voice_activity_detection
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