Automatic Speech Recognition
LiteRT
LiteRT
English
streaming
rnn-t
nemotron
fastconformer
real-time
on-device
soniqo
speech-cloud
speech-core
Instructions to use soniqo/Nemotron-Speech-Streaming-LiteRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use soniqo/Nemotron-Speech-Streaming-LiteRT with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| { | |
| "model_id": "nvidia/nemotron-speech-streaming-en-0.6b", | |
| "format": "litert", | |
| "encoder": "nemotron-streaming-encoder.tflite", | |
| "decoder": "nemotron-streaming-decoder.tflite", | |
| "joint": "nemotron-streaming-joint.tflite", | |
| "chunk_ms": 80, | |
| "actual_mel_frames": 9, | |
| "pre_cache_size": 16, | |
| "mel_bins": 128, | |
| "subsampling_factor": 8, | |
| "attention_left_context": 70, | |
| "encoder_layers": 24, | |
| "vocab_size": 1024, | |
| "dims": { | |
| "encoder_hidden": 1024, | |
| "conv_cache_size": 8, | |
| "decoder_hidden": 640, | |
| "decoder_layers": 2 | |
| }, | |
| "quantize": "int8" | |
| } |