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/_static/js/pk_scripts.js from RASMUS/Finnish-ASR-Canary-v2: direct link, hf CLI and curl.
- Browser
- Download file 580 Bytes
-
https://huggingface.co/RASMUS/Finnish-ASR-Canary-v2/resolve/main/NeMo/docs/source/_static/js/pk_scripts.js
- Command line
-
hf download hf://RASMUS/Finnish-ASR-Canary-v2/NeMo/docs/source/_static/js/pk_scripts.js
-
curl -L -o pk_scripts.js https://huggingface.co/RASMUS/Finnish-ASR-Canary-v2/resolve/main/NeMo/docs/source/_static/js/pk_scripts.js
580 Bytes
| document.addEventListener("DOMContentLoaded", function () { | |
| var params = window.location.search.substring(1).split("&").reduce(function (params, param) { | |
| if (!param) { | |
| return params; | |
| } | |
| var values = param.split("="); | |
| var name = values[0]; | |
| var value = values[1]; | |
| params[name] = value; | |
| return params; | |
| }, {}); | |
| var form = document.getElementById("feedback-form"); | |
| for (var name in params) { | |
| var input = form.querySelector("[name=" + name + "]"); | |
| input.value = params[name]; | |
| } | |
| }); |