Automatic Speech Recognition
Transformers
Safetensors
Kalenjin
parakeet_tdt
feature-extraction
kalenjin
kipsigis
nandi
low-resource
african-languages
parakeet
fastconformer
tdt
fine-tune
Eval Results (legacy)
Instructions to use Tonykip/parakeet-tdt-0.6b-kalenjin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tonykip/parakeet-tdt-0.6b-kalenjin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Tonykip/parakeet-tdt-0.6b-kalenjin")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tonykip/parakeet-tdt-0.6b-kalenjin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
README.md
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# parakeet-tdt-0.6b-kalenjin
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language of Kenya's Rift Valley (~2M speakers). This is an **honest fine-tune** of NVIDIA's
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[`parakeet-tdt-0.6b-v3`](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3) (a 0.6B-parameter
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FastConformer encoder with a Token-and-Duration Transducer decoder). **It is not trained from
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# parakeet-tdt-0.6b-kalenjin
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> ⚠️ **Experimental — not recommended for use.** This Parakeet fine-tune was a research experiment.
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> On real-world Kalenjin audio it is less reliable than the recommended model,
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> [`Tonykip/whisper-kalenjin-v3-turbo`](https://huggingface.co/Tonykip/whisper-kalenjin-v3-turbo)
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> — **use that instead.** This repo is kept for reproducibility and research transparency.
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**An open automatic speech recognition (ASR) model for Kalenjin** — a Highland Nilotic
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language of Kenya's Rift Valley (~2M speakers). This is an **honest fine-tune** of NVIDIA's
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[`parakeet-tdt-0.6b-v3`](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3) (a 0.6B-parameter
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FastConformer encoder with a Token-and-Duration Transducer decoder). **It is not trained from
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