Automatic Speech Recognition
NeMo
Safetensors
English
parakeet
whisper
qwen3
ctranslate2
text-generation
air-traffic-control
atc
singapore
military
par
Instructions to use aether-raid/astra-atc-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use aether-raid/astra-atc-models with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("aether-raid/astra-atc-models") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download par/ASR/model.nemo from aether-raid/astra-atc-models: direct link, hf CLI and curl.
- Browser
- Download file 2.47 GB
-
https://huggingface.co/aether-raid/astra-atc-models/resolve/main/par/ASR/model.nemo
- Command line
-
hf download hf://aether-raid/astra-atc-models/par/ASR/model.nemo
-
curl -L -o model.nemo https://huggingface.co/aether-raid/astra-atc-models/resolve/main/par/ASR/model.nemo
2.47 GB
- Xet hash:
- 71ad0125c87444796629f2fb53fa46ddfda8295cab07f4de8dc6568d94ce3c64
- Size of remote file:
- 2.47 GB
- SHA256:
- d8fa3c5994487d66505264e1f904f2eb49ea38d42a6de2d131d39f28bcb9a8e0
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