Instructions to use nsalerni/flowcast-loudink-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use nsalerni/flowcast-loudink-v1 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir flowcast-loudink-v1 nsalerni/flowcast-loudink-v1
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "reports": [ | |
| { | |
| "source": "artifacts/benchmarks/loudink_v1/daily_mac/loudink_v1_daily_mac_measurement.json", | |
| "label": "loudink-v1 v0.4 daily-mac product", | |
| "writing": { | |
| "shipped": { | |
| "total": 22, | |
| "passed": 22, | |
| "accuracy": 1.0 | |
| }, | |
| "neural": { | |
| "total": 22, | |
| "passed": 19, | |
| "accuracy": 0.8636363636363636, | |
| "missing": 0 | |
| }, | |
| "polish_lift": 0.13636363636363635, | |
| "latency": { | |
| "n": 22, | |
| "mean": 174.0530966088853, | |
| "p50": 179.1810840368271, | |
| "p95": 332.44862500578165, | |
| "max": 358.969375025481, | |
| "model_invoked_p50": 185.30124984681606, | |
| "model_invoked_p95": 332.44862500578165, | |
| "model_invoked_n": 18, | |
| "fast_path_rate": 0.18181818181818177 | |
| } | |
| }, | |
| "computer": { | |
| "shipped": { | |
| "total": 34, | |
| "passed": 34, | |
| "accuracy": 1.0 | |
| }, | |
| "neural": { | |
| "total": 34, | |
| "passed": 1, | |
| "accuracy": 0.029411764705882353, | |
| "missing": 33 | |
| }, | |
| "latency": { | |
| "n": 34, | |
| "mean": 13.59642523723271, | |
| "p50": 0.05, | |
| "p95": 0.05, | |
| "max": 460.6284580659121, | |
| "model_invoked_p50": 460.6284580659121, | |
| "model_invoked_p95": 460.6284580659121, | |
| "model_invoked_n": 1, | |
| "fast_path_rate": 0.9705882352941176 | |
| } | |
| }, | |
| "multi_step": { | |
| "shipped": { | |
| "total": 21, | |
| "passed": 21, | |
| "accuracy": 1.0 | |
| }, | |
| "latency": { | |
| "n": 21, | |
| "mean": 21.982307526948198, | |
| "p50": 0.05, | |
| "p95": 0.05, | |
| "max": 460.6284580659121, | |
| "model_invoked_p50": 460.6284580659121, | |
| "model_invoked_p95": 460.6284580659121, | |
| "model_invoked_n": 1, | |
| "fast_path_rate": 0.9523809523809523 | |
| }, | |
| "n": 21 | |
| }, | |
| "overall": { | |
| "shipped": { | |
| "total": 56, | |
| "passed": 56, | |
| "accuracy": 1.0 | |
| }, | |
| "latency": { | |
| "n": 56, | |
| "mean": 76.63297470466766, | |
| "p50": 0.05, | |
| "p95": 314.540958032012, | |
| "max": 460.6284580659121, | |
| "model_invoked_p50": 194.78566688485444, | |
| "model_invoked_p95": 358.969375025481, | |
| "model_invoked_n": 19, | |
| "fast_path_rate": 0.6607142857142857 | |
| } | |
| }, | |
| "finish_reasons": { | |
| "transcript_ir_fast_path": 33, | |
| "loudink_v1_structural_polish": 18, | |
| "transcript_polish_fast_path": 4, | |
| "ir_model_lean": 1 | |
| } | |
| } | |
| ] | |
| } | |