Automatic Speech Recognition
LiteRT
ONNX
LiteRT
ai-edge-litert
litert-torch
quantized
dynamic-int4
block32
qwen3
qwen3-asr
mega-asr
asr
speech-recognition
robust-asr
android
mobile
edge
Instructions to use Reza2kn/mega-asr-litert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use Reza2kn/mega-asr-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
Download tokenizer/preprocessor_config.json from Reza2kn/mega-asr-litert: direct link, hf CLI and curl.
- Browser
- Download file 330 Bytes
-
https://huggingface.co/Reza2kn/mega-asr-litert/resolve/main/tokenizer/preprocessor_config.json
- Command line
-
hf download hf://Reza2kn/mega-asr-litert/tokenizer/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Reza2kn/mega-asr-litert/resolve/main/tokenizer/preprocessor_config.json
330 Bytes
| { | |
| "chunk_length": 30, | |
| "dither": 0.0, | |
| "feature_extractor_type": "WhisperFeatureExtractor", | |
| "feature_size": 128, | |
| "hop_length": 160, | |
| "n_fft": 400, | |
| "n_samples": 480000, | |
| "nb_max_frames": 3000, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "processor_class": "Qwen3ASRProcessor", | |
| "return_attention_mask": true | |
| } |