Automatic Speech Recognition
MLX
ONNX
GGUF
Rust
English
Chinese
audio8
streaming-asr
quantized
experimental
Instructions to use Reza2kn/Audio8-ASR-Infinite-Compressed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Reza2kn/Audio8-ASR-Infinite-Compressed with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Audio8-ASR-Infinite-Compressed Reza2kn/Audio8-ASR-Infinite-Compressed
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download assets/preprocessor_config.json from Reza2kn/Audio8-ASR-Infinite-Compressed: direct link, hf CLI and curl.
- Browser
- Download file 286 Bytes
-
https://huggingface.co/Reza2kn/Audio8-ASR-Infinite-Compressed/resolve/main/assets/preprocessor_config.json
- Command line
-
hf download hf://Reza2kn/Audio8-ASR-Infinite-Compressed/assets/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/Reza2kn/Audio8-ASR-Infinite-Compressed/resolve/main/assets/preprocessor_config.json
286 Bytes
| { | |
| "feature_extractor_type": "VoxtralRealtimeFeatureExtractor", | |
| "feature_size": 128, | |
| "global_log_mel_max": 1.5, | |
| "hop_length": 160, | |
| "n_fft": 400, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000, | |
| "win_length": 400 | |
| } | |