Instructions to use Reza2kn/visualears-fastconformer-fa-depoisoned-phaseB-streaming-mlx-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Reza2kn/visualears-fastconformer-fa-depoisoned-phaseB-streaming-mlx-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir visualears-fastconformer-fa-depoisoned-phaseB-streaming-mlx-fp16 Reza2kn/visualears-fastconformer-fa-depoisoned-phaseB-streaming-mlx-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
VisualEars PhaseB Streaming MLX FP16
MLX FP16 weight bundle and RNNT runtime scaffold for Reza2kn/visualears-fastconformer-fa-depoisoned-phaseB.
Files:
phaseB_hybrid_streaming_fp16.safetensorsphaseB_hybrid_streaming_fp16_mlx_manifest.jsonphaseb_mlx_rnnt_runtime.pymlx_rnnt_runtime_smoke.jsonmlx_vs_torch_rnnt_argmax20.json
Validation: MLX RNNT predictor/joint smoke passed; RNNT joint argmax matched TorchScript on 20 random probes.
The MLX encoder port is not complete in this artifact set. The exported weights and manifest preserve the streaming cache/head metadata for the full hybrid model.
Hardware compatibility
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