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
Upload README.md with huggingface_hub
Browse files
README.md
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---
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library_name: nemo
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pipeline_tag: automatic-speech-recognition
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tags:
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- nemo
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- parakeet
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- tdt
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- edrl
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- indicvoices
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---
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# nemo_rl_7000_step
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Parakeet TDT 48k EDRL checkpoint at global step 7000.
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Files:
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- `parakeet-tdt-1.1b-48k-edrl-step=7000.ckpt`
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- tokenizer bundle under `tokenizer_parakeet_48k_261k/`
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