Automatic Speech Recognition
NeMo
ONNX
GGUF
English
parakeet
tdt
speaker-adaptation
english
tech-vocabulary
irish-english
dictation
fritter
Instructions to use danielrosehill/Fritter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use danielrosehill/Fritter with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("danielrosehill/Fritter") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download Fritter.nemo from danielrosehill/Fritter: direct link, hf CLI and curl.
- Browser
- Download file 2.47 GB
-
https://huggingface.co/danielrosehill/Fritter/resolve/main/Fritter.nemo
- Command line
-
hf download hf://danielrosehill/Fritter/Fritter.nemo
-
curl -L -o Fritter.nemo https://huggingface.co/danielrosehill/Fritter/resolve/main/Fritter.nemo
2.47 GB
- Xet hash:
- 454efee7729bc0833a81e9b5fe541a5e0d08402e26fc43ac41fb69f792324936
- Size of remote file:
- 2.47 GB
- SHA256:
- fa4051c54d7511ab130a8fa8fdf404b690507d12dd1c6018f054d452e77a851f
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