Instructions to use BayAreaBoys/nemo_rl_7000_step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use BayAreaBoys/nemo_rl_7000_step with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("BayAreaBoys/nemo_rl_7000_step") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
File size: 307 Bytes
dc24e37 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ---
library_name: nemo
pipeline_tag: automatic-speech-recognition
tags:
- nemo
- parakeet
- tdt
- edrl
- indicvoices
---
# nemo_rl_7000_step
Parakeet TDT 48k EDRL checkpoint at global step 7000.
Files:
- `parakeet-tdt-1.1b-48k-edrl-step=7000.ckpt`
- tokenizer bundle under `tokenizer_parakeet_48k_261k/`
|