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
Audio8-ASR-Infinite-Compressed / evaluation /published-consumer /mlx-memory-runtime /verification.json
Download evaluation/published-consumer/mlx-memory-runtime/verification.json from Reza2kn/Audio8-ASR-Infinite-Compressed: direct link, hf CLI and curl.
- Browser
- Download file 1.67 kB
-
https://huggingface.co/Reza2kn/Audio8-ASR-Infinite-Compressed/resolve/main/evaluation/published-consumer/mlx-memory-runtime/verification.json
- Command line
-
hf download hf://Reza2kn/Audio8-ASR-Infinite-Compressed/evaluation/published-consumer/mlx-memory-runtime/verification.json
-
curl -L -o verification.json https://huggingface.co/Reza2kn/Audio8-ASR-Infinite-Compressed/resolve/main/evaluation/published-consumer/mlx-memory-runtime/verification.json
1.67 kB
| { | |
| "status": "verified_published_consumer", | |
| "repo": "Reza2kn/Audio8-ASR-Infinite-Compressed", | |
| "commit": "fddfb1086894106166b4d4a525ca93458f143643", | |
| "began_unix": 1790350208.9610932, | |
| "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-memory-consumer-http-v1/1272-128104-0000/run.json", | |
| "report_sha256": "c680ced1653d406aa9a4fb5ab6094a49bad7c5a024dd9cdcb399080ab3206634" | |
| }, | |
| { | |
| "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-memory-consumer-http-v1/BAC009S0764W0121/run.json", | |
| "report_sha256": "4ad4da335e76def00ee24834e51b683882baa2fac249f852c24c561d51d94ab1" | |
| } | |
| ], | |
| "downloaded_files": 34, | |
| "all_download_hashes_verified": true, | |
| "finished_unix": 1790350287.2040792, | |
| "assets_unchanged": true | |
| } | |