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README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ language:
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+ - en
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+ tags:
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+ - asr
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+ - speech
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+ - coreml
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+ - nemo
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+ - parakeet
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+ - nvidia
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+ - 4bit-palettize-kmeans
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+ library_name: coremltools
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+ pipeline_tag: automatic-speech-recognition
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+ base_model: nvidia/parakeet-rnnt-1.1b
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+ ---
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+
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+ # parakeet-rnnt-1.1b-coreml-4bit
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+
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+ CoreML conversion of [nvidia/parakeet-rnnt-1.1b](https://huggingface.co/nvidia/parakeet-rnnt-1.1b) — 4BIT PALETTIZE KMEANS quantized.
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+
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+ | | |
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+ |---|---|
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+ | **Architecture** | RNNT |
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+ | **Language** | English |
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+ | **Sample rate** | 16000 Hz |
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+ | **Max audio** | 15.0s |
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+ | **Vocab size** | 1024 |
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+ | **Framework** | NVIDIA NeMo → CoreML (coremltools) |
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+
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+ ## Components
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+
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+ | File | Component | Best compute |
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+ |------|-----------|--------------|
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+ | `parakeet_mel_encoder.mlpackage` | mel_encoder | ANE / GPU |
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+ | `parakeet_decoder.mlpackage` | decoder | CPU only |
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+ | `parakeet_joint_decision_single_step.mlpackage` | joint_decision_single_step | ANE / GPU |
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+
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+ ## Usage
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+
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+ ```bash
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+ pip install ovos-stt-plugin-coreml
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+ ```
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+
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+ ```python
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+ from ovos_stt_plugin_coreml import CoremlSTT
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+ from ovos_plugin_manager.utils.audio import AudioFile
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+
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+ stt = CoremlSTT(config={"metadata": "metadata.json"})
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+
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+ with AudioFile("speech.wav") as f:
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+ audio = f.read()
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+ print(stt.execute(audio))
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+ ```
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+
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+ ## Source model
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+
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+ [nvidia/parakeet-rnnt-1.1b](https://huggingface.co/nvidia/parakeet-rnnt-1.1b)
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+
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+ {
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+ "model_type": "parakeet_rnnt",
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+ "language": "",
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+ "model_id": "nvidia/parakeet-rnnt-1.1b"
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+ "coreml": {
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+ "compute_precision": "FLOAT32",
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+ "quantization": "4bit_palettize_kmeans"
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