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
| 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/` | |