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] hf download Reza2kn/Audio8-ASR-Infinite-Compressed --local-dir Audio8-ASR-Infinite-Compressed
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download evaluation/published-consumer/mlx/verification.json from Reza2kn/Audio8-ASR-Infinite-Compressed: direct link, hf CLI and curl.
- Browser
- Download file 1.64 kB
-
https://huggingface.co/Reza2kn/Audio8-ASR-Infinite-Compressed/resolve/main/evaluation/published-consumer/mlx/verification.json
- Command line
-
hf download hf://Reza2kn/Audio8-ASR-Infinite-Compressed/evaluation/published-consumer/mlx/verification.json
-
curl -L -o verification.json https://huggingface.co/Reza2kn/Audio8-ASR-Infinite-Compressed/resolve/main/evaluation/published-consumer/mlx/verification.json
1.64 kB
| { | |
| "status": "verified_published_consumer", | |
| "repo": "Reza2kn/Audio8-ASR-Infinite-Compressed", | |
| "commit": "c49eca996a633fa64c0ec326436ce2cd131800dc", | |
| "began_unix": 1790329313.377853, | |
| "source": "Fresh consumer directory downloaded from the published pinned Hub commit.", | |
| "smoke_only": true, | |
| "production_ready": false, | |
| "cases": [ | |
| { | |
| "id": "1272-128104-0000", | |
| "language": "en", | |
| "status": "passed", | |
| "counts": { | |
| "hits": 16, | |
| "substitutions": 1, | |
| "deletions": 0, | |
| "insertions": 0, | |
| "reference_units": 17, | |
| "hypothesis_units": 17, | |
| "errors": 1, | |
| "error_rate": 0.058823529411764705 | |
| }, | |
| "report": "/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/reports/published-q3-mlx-consumer-v1/1272-128104-0000/run.json", | |
| "report_sha256": "d8c07ddc34e5a3347c82b98a3ad0ec72a454d6ab60d7658478c83c4759e30773" | |
| }, | |
| { | |
| "id": "BAC009S0764W0121", | |
| "language": "zh", | |
| "status": "passed", | |
| "counts": { | |
| "hits": 13, | |
| "substitutions": 0, | |
| "deletions": 0, | |
| "insertions": 0, | |
| "reference_units": 13, | |
| "hypothesis_units": 13, | |
| "errors": 0, | |
| "error_rate": 0.0 | |
| }, | |
| "report": "/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/reports/published-q3-mlx-consumer-v1/BAC009S0764W0121/run.json", | |
| "report_sha256": "69c6cc2797f60d83345890081c139e10bc26b908f19ddb77fbeb67650aeb4a52" | |
| } | |
| ], | |
| "downloaded_files": 34, | |
| "all_download_hashes_verified": true, | |
| "finished_unix": 1790329378.164959, | |
| "assets_unchanged": true | |
| } | |