Automatic Speech Recognition
NeMo
Core ML
PyTorch
English
speech
audio
Transducer
TDT
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use FluidInference/parakeet-ctc-110m-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use FluidInference/parakeet-ctc-110m-coreml with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("FluidInference/parakeet-ctc-110m-coreml") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
| { | |
| "model": "parakeet-tdt-ctc-110m-ctc-head", | |
| "source": "nvidia/parakeet-tdt_ctc-110m", | |
| "encoder_dim": 512, | |
| "time_steps": 188, | |
| "vocab_size": 1024, | |
| "ctc_classes": 1025, | |
| "blank_id": 1024, | |
| "max_audio_seconds": 15.0, | |
| "input": { | |
| "encoder_output": [ | |
| 1, | |
| 512, | |
| 188 | |
| ] | |
| }, | |
| "output": { | |
| "ctc_logits": [ | |
| 1, | |
| 188, | |
| 1025 | |
| ] | |
| } | |
| } |