Instructions to use OpenVoiceOS/stt-eu-conformer-ctc-large-coreml-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use OpenVoiceOS/stt-eu-conformer-ctc-large-coreml-4bit with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/stt-eu-conformer-ctc-large-coreml-4bit") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download quantization_summary.json from OpenVoiceOS/stt-eu-conformer-ctc-large-coreml-4bit: direct link, hf CLI and curl.
- Browser
- Download file 207 Bytes
-
https://huggingface.co/OpenVoiceOS/stt-eu-conformer-ctc-large-coreml-4bit/resolve/main/quantization_summary.json
- Command line
-
hf download hf://OpenVoiceOS/stt-eu-conformer-ctc-large-coreml-4bit/quantization_summary.json
-
curl -L -o quantization_summary.json https://huggingface.co/OpenVoiceOS/stt-eu-conformer-ctc-large-coreml-4bit/resolve/main/quantization_summary.json
207 Bytes
| { | |
| "parakeet_ctc_decoder": { | |
| "original_mb": 0.5, | |
| "4bit_mb": 0.1, | |
| "compression": 7.54 | |
| }, | |
| "parakeet_mel_encoder": { | |
| "original_mb": 474.4, | |
| "4bit_mb": 61.4, | |
| "compression": 7.72 | |
| } | |
| } |