Automatic Speech Recognition
NeMo
ONNX
GGUF
English
parakeet
tdt
speaker-adaptation
english
tech-vocabulary
irish-english
dictation
fritter
Instructions to use Fritter-ASR/Fritter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use Fritter-ASR/Fritter with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("Fritter-ASR/Fritter") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download Fritter.nemo from Fritter-ASR/Fritter: direct link, hf CLI and curl.
- Browser
- Download file 2.47 GB
-
https://huggingface.co/Fritter-ASR/Fritter/resolve/main/Fritter.nemo
- Command line
-
hf download hf://Fritter-ASR/Fritter/Fritter.nemo
-
curl -L -o Fritter.nemo https://huggingface.co/Fritter-ASR/Fritter/resolve/main/Fritter.nemo
2.47 GB
- Xet hash:
- fdb8771d605693a0c3ec6d836b6428e7863dec5995c1291d5a1f38939639b706
- Size of remote file:
- 2.47 GB
- SHA256:
- 8ad23df599ef57186b07842d79bc9be83d35a91c20d818600a2a73edde481f7f
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