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
Org home: links point to Fritter-ASR, note the move
Browse files
README.md
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# Fritter v1.3: Parakeet TDT 0.6B v2 for English dictation, no code-switching
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## What it's for
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**App developers:** you're welcome to add Fritter to your app or model catalogue, with no strings attached, for non-commercial use with attribution. The [Fritter collection](https://huggingface.co/collections/
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A personal speech-recognition fine-tune for **English dictation without code-switching**: tech vocabulary (model and product names, CLI and cloud terms), brand names, acronyms, numbers and currency in digits, Irish-English phrasing, fast and slow speech, whispering, and everyday email and message dictation, all in one speaker's voice.
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# Fritter v1.3: Parakeet TDT 0.6B v2 for English dictation, no code-switching
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> Formerly [`danielrosehill/Fritter`](https://huggingface.co/danielrosehill/Fritter), where Fritter was a proof of concept. It moved to the Fritter-ASR organisation in November 2026, and new releases are published here.
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## What it's for
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**App developers:** you're welcome to add Fritter to your app or model catalogue, with no strings attached, for non-commercial use with attribution. The [Fritter collection](https://huggingface.co/collections/Fritter-ASR/fritter-asr-6af1b23cae51f0c28e3a352d) has every release; a streaming version is coming soon and will appear there.
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A personal speech-recognition fine-tune for **English dictation without code-switching**: tech vocabulary (model and product names, CLI and cloud terms), brand names, acronyms, numbers and currency in digits, Irish-English phrasing, fast and slow speech, whispering, and everyday email and message dictation, all in one speaker's voice.
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