Instructions to use OpenVoiceOS/stt-los-conformer-transducer-large-punctuated-coreml-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use OpenVoiceOS/stt-los-conformer-transducer-large-punctuated-coreml-4bit with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/stt-los-conformer-transducer-large-punctuated-coreml-4bit") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Add CoreML export: stt-los-conformer-transducer-large-punctuated-coreml-4bit
Browse files- README.md +22 -0
- metadata.json +113 -0
- parakeet_decoder.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- parakeet_decoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- parakeet_decoder.mlpackage/Manifest.json +18 -0
- parakeet_joint_decision_single_step.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- parakeet_joint_decision_single_step.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- parakeet_joint_decision_single_step.mlpackage/Manifest.json +18 -0
- parakeet_mel_encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- parakeet_mel_encoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- parakeet_mel_encoder.mlpackage/Manifest.json +18 -0
- quantization_summary.json +17 -0
- vocab.json +302 -0
README.md
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---
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license: apache-2.0
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tags:
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- automatic-speech-recognition
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- nemo
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- coreml
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- apple-silicon
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- ovos
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---
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# stt-los-conformer-transducer-large-punctuated-coreml
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CoreML export of [BSC-LT/stt_los_conformer_transducer_large_punctuated](https://huggingface.co/BSC-LT/stt_los_conformer_transducer_large_punctuated) for Apple Silicon.
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Exported with [ovos-stt-plugin-coreml](https://github.com/TigreGotico/ovos-stt-plugin-coreml).
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## Usage
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```python
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from ovos_stt_plugin_coreml import CoremlSTT
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stt = CoremlSTT(config={"repo_id": "OpenVoiceOS/stt-los-conformer-transducer-large-punctuated-coreml"})
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```
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metadata.json
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{
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"model_id": "BSC-LT/stt_los_conformer_transducer_large_punctuated",
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"model_type": "parakeet_rnnt",
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"language": "",
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| 5 |
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"sample_rate": 16000,
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| 6 |
+
"max_audio_seconds": 15.0,
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+
"max_audio_samples": 240000,
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| 8 |
+
"vocab_size": 300,
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| 9 |
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"blank_id": 300,
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"checkpoint": {
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"type": "pretrained",
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"model_id": "BSC-LT/stt_los_conformer_transducer_large_punctuated"
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},
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"coreml": {
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| 15 |
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"compute_precision": "FLOAT32",
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"quantization": "4bit_palettize_kmeans"
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},
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"components": {
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| 19 |
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"mel_encoder": {
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| 20 |
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"path": "parakeet_mel_encoder.mlpackage",
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"inputs": {
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| 22 |
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"audio_signal": [
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1,
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240000
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],
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"audio_length": [
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1
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]
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},
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"outputs": {
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"encoder": [
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1,
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512,
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376
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],
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| 36 |
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"encoder_length": [
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1
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]
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}
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},
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"decoder": {
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"path": "parakeet_decoder.mlpackage",
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| 43 |
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"inputs": {
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"targets": [
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1,
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1
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],
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"target_length": [
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1
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],
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"h_in": [
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1,
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1,
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| 54 |
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640
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| 55 |
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],
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"c_in": [
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1,
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1,
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| 59 |
+
640
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]
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},
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"outputs": {
|
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"decoder": [
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1,
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640,
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1
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],
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"h_out": [
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1,
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1,
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640
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],
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"c_out": [
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640
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]
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}
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},
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"joint_decision_single_step": {
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"path": "parakeet_joint_decision_single_step.mlpackage",
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"inputs": {
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"encoder_step": [
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1,
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512,
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1
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],
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"decoder_step": [
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640,
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]
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},
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"outputs": {
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"token_id": [
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],
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"token_prob": [
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],
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"duration": [
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]
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}
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}
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}
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| 113 |
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}
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parakeet_decoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb3c1cd93bb2f5782d7d627c0edc305ce9015dcd837180326d81562c2146808f
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size 6225
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parakeet_decoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin
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version https://git-lfs.github.com/spec/v1
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size 1745664
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parakeet_decoder.mlpackage/Manifest.json
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|
| 5 |
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"author": "com.apple.CoreML",
|
| 6 |
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"description": "CoreML Model Weights",
|
| 7 |
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"name": "weights",
|
| 8 |
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"path": "com.apple.CoreML/weights"
|
| 9 |
+
},
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"29B3349E-DD01-4E9A-B4F1-0E4DF9BB0FB0": {
|
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"author": "com.apple.CoreML",
|
| 12 |
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"description": "CoreML Model Specification",
|
| 13 |
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"name": "model.mlmodel",
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"path": "com.apple.CoreML/model.mlmodel"
|
| 15 |
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}
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},
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"rootModelIdentifier": "29B3349E-DD01-4E9A-B4F1-0E4DF9BB0FB0"
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}
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parakeet_joint_decision_single_step.mlpackage/Data/com.apple.CoreML/model.mlmodel
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version https://git-lfs.github.com/spec/v1
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oid sha256:dd1a63333a88f2ca2063f2e564c337a8bdf62f3c56763cfdb0881c48aa2d27a5
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size 5575
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parakeet_joint_decision_single_step.mlpackage/Data/com.apple.CoreML/weights/weight.bin
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version https://git-lfs.github.com/spec/v1
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| 2 |
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size 472128
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parakeet_joint_decision_single_step.mlpackage/Manifest.json
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{
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"198B8ADC-92D8-432D-BB72-EF57708F3CC1": {
|
| 5 |
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"author": "com.apple.CoreML",
|
| 6 |
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"description": "CoreML Model Weights",
|
| 7 |
+
"name": "weights",
|
| 8 |
+
"path": "com.apple.CoreML/weights"
|
| 9 |
+
},
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| 10 |
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"3D4CBDFF-BFBD-4EFD-B499-76008DF8A957": {
|
| 11 |
+
"author": "com.apple.CoreML",
|
| 12 |
+
"description": "CoreML Model Specification",
|
| 13 |
+
"name": "model.mlmodel",
|
| 14 |
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"path": "com.apple.CoreML/model.mlmodel"
|
| 15 |
+
}
|
| 16 |
+
},
|
| 17 |
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"rootModelIdentifier": "3D4CBDFF-BFBD-4EFD-B499-76008DF8A957"
|
| 18 |
+
}
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parakeet_mel_encoder.mlpackage/Data/com.apple.CoreML/model.mlmodel
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:3fd3403eee62b52de6f085d385de47f301021a029fb7c2708f426ed689ad146b
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| 3 |
+
size 1321300
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parakeet_mel_encoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 59774208
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parakeet_mel_encoder.mlpackage/Manifest.json
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{
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"fileFormatVersion": "1.0.0",
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"itemInfoEntries": {
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| 4 |
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"082CD348-11A2-4F31-843D-8F4128F0A327": {
|
| 5 |
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"author": "com.apple.CoreML",
|
| 6 |
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"description": "CoreML Model Weights",
|
| 7 |
+
"name": "weights",
|
| 8 |
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"path": "com.apple.CoreML/weights"
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| 9 |
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},
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| 10 |
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"19AD95AB-B29D-4E1C-94BC-6BC020F38E35": {
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| 11 |
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"author": "com.apple.CoreML",
|
| 12 |
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"description": "CoreML Model Specification",
|
| 13 |
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"name": "model.mlmodel",
|
| 14 |
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"path": "com.apple.CoreML/model.mlmodel"
|
| 15 |
+
}
|
| 16 |
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},
|
| 17 |
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"rootModelIdentifier": "19AD95AB-B29D-4E1C-94BC-6BC020F38E35"
|
| 18 |
+
}
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quantization_summary.json
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{
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| 2 |
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"parakeet_decoder": {
|
| 3 |
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"original_mb": 13.3,
|
| 4 |
+
"4bit_mb": 1.7,
|
| 5 |
+
"compression": 7.93
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| 6 |
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},
|
| 7 |
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"parakeet_joint_decision_single_step": {
|
| 8 |
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"original_mb": 3.6,
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| 9 |
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"4bit_mb": 0.5,
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| 10 |
+
"compression": 7.8
|
| 11 |
+
},
|
| 12 |
+
"parakeet_mel_encoder": {
|
| 13 |
+
"original_mb": 449.8,
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| 14 |
+
"4bit_mb": 58.3,
|
| 15 |
+
"compression": 7.72
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| 16 |
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}
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| 17 |
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}
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vocab.json
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
| 1 |
+
[
|
| 2 |
+
"<unk>",
|
| 3 |
+
"▁d",
|
| 4 |
+
"en",
|
| 5 |
+
"es",
|
| 6 |
+
"er",
|
| 7 |
+
"▁a",
|
| 8 |
+
"ta",
|
| 9 |
+
"▁p",
|
| 10 |
+
"ar",
|
| 11 |
+
"▁e",
|
| 12 |
+
"▁de",
|
| 13 |
+
"▁c",
|
| 14 |
+
"os",
|
| 15 |
+
"an",
|
| 16 |
+
"▁l",
|
| 17 |
+
"qu",
|
| 18 |
+
"▁s",
|
| 19 |
+
"on",
|
| 20 |
+
"or",
|
| 21 |
+
"in",
|
| 22 |
+
"▁m",
|
| 23 |
+
"▁qu",
|
| 24 |
+
"te",
|
| 25 |
+
"un",
|
| 26 |
+
"re",
|
| 27 |
+
"▁que",
|
| 28 |
+
"al",
|
| 29 |
+
"ci",
|
| 30 |
+
"as",
|
| 31 |
+
"▁n",
|
| 32 |
+
"▁h",
|
| 33 |
+
"▁b",
|
| 34 |
+
"ra",
|
| 35 |
+
"ti",
|
| 36 |
+
"▁es",
|
| 37 |
+
"▁en",
|
| 38 |
+
"tu",
|
| 39 |
+
"ri",
|
| 40 |
+
"▁v",
|
| 41 |
+
"▁i",
|
| 42 |
+
"▁la",
|
| 43 |
+
"▁t",
|
| 44 |
+
"▁f",
|
| 45 |
+
"da",
|
| 46 |
+
"ko",
|
| 47 |
+
"▁g",
|
| 48 |
+
"tz",
|
| 49 |
+
"▁un",
|
| 50 |
+
"is",
|
| 51 |
+
"om",
|
| 52 |
+
"▁el",
|
| 53 |
+
"▁E",
|
| 54 |
+
"ol",
|
| 55 |
+
"de",
|
| 56 |
+
"do",
|
| 57 |
+
"ro",
|
| 58 |
+
"▁se",
|
| 59 |
+
"▁o",
|
| 60 |
+
"la",
|
| 61 |
+
"ent",
|
| 62 |
+
"▁di",
|
| 63 |
+
"ia",
|
| 64 |
+
"ón",
|
| 65 |
+
"▁con",
|
| 66 |
+
"era",
|
| 67 |
+
"us",
|
| 68 |
+
"▁per",
|
| 69 |
+
"▁da",
|
| 70 |
+
"res",
|
| 71 |
+
"il",
|
| 72 |
+
"ur",
|
| 73 |
+
"di",
|
| 74 |
+
"ca",
|
| 75 |
+
"▁P",
|
| 76 |
+
"▁al",
|
| 77 |
+
"to",
|
| 78 |
+
"▁A",
|
| 79 |
+
"▁no",
|
| 80 |
+
"le",
|
| 81 |
+
"ak",
|
| 82 |
+
"▁y",
|
| 83 |
+
"at",
|
| 84 |
+
"gu",
|
| 85 |
+
"▁com",
|
| 86 |
+
"▁in",
|
| 87 |
+
"▁z",
|
| 88 |
+
"▁re",
|
| 89 |
+
"go",
|
| 90 |
+
"▁par",
|
| 91 |
+
"tan",
|
| 92 |
+
"▁ha",
|
| 93 |
+
"▁C",
|
| 94 |
+
"ma",
|
| 95 |
+
"em",
|
| 96 |
+
"el",
|
| 97 |
+
"▁é",
|
| 98 |
+
"am",
|
| 99 |
+
"ita",
|
| 100 |
+
"▁eta",
|
| 101 |
+
"▁S",
|
| 102 |
+
"ec",
|
| 103 |
+
"▁du",
|
| 104 |
+
"ción",
|
| 105 |
+
"▁del",
|
| 106 |
+
"▁L",
|
| 107 |
+
"ai",
|
| 108 |
+
"▁pro",
|
| 109 |
+
"▁por",
|
| 110 |
+
"ab",
|
| 111 |
+
"▁j",
|
| 112 |
+
"ten",
|
| 113 |
+
"ts",
|
| 114 |
+
"▁po",
|
| 115 |
+
"li",
|
| 116 |
+
"mp",
|
| 117 |
+
"▁B",
|
| 118 |
+
"▁D",
|
| 119 |
+
"ente",
|
| 120 |
+
"▁M",
|
| 121 |
+
"mb",
|
| 122 |
+
"▁des",
|
| 123 |
+
"ul",
|
| 124 |
+
"▁ta",
|
| 125 |
+
"io",
|
| 126 |
+
"▁G",
|
| 127 |
+
"▁an",
|
| 128 |
+
"ha",
|
| 129 |
+
"ir",
|
| 130 |
+
"▁una",
|
| 131 |
+
"du",
|
| 132 |
+
"▁as",
|
| 133 |
+
"▁to",
|
| 134 |
+
"co",
|
| 135 |
+
"ez",
|
| 136 |
+
"cia",
|
| 137 |
+
"ix",
|
| 138 |
+
"ter",
|
| 139 |
+
"ue",
|
| 140 |
+
"▁do",
|
| 141 |
+
"▁te",
|
| 142 |
+
"iz",
|
| 143 |
+
"ía",
|
| 144 |
+
"▁er",
|
| 145 |
+
"▁para",
|
| 146 |
+
"ga",
|
| 147 |
+
"▁ba",
|
| 148 |
+
"▁eg",
|
| 149 |
+
"▁si",
|
| 150 |
+
"me",
|
| 151 |
+
"▁na",
|
| 152 |
+
"eh",
|
| 153 |
+
"tes",
|
| 154 |
+
"dos",
|
| 155 |
+
"▁H",
|
| 156 |
+
"▁Es",
|
| 157 |
+
"▁ez",
|
| 158 |
+
"▁esta",
|
| 159 |
+
"ka",
|
| 160 |
+
"▁les",
|
| 161 |
+
"ida",
|
| 162 |
+
"▁su",
|
| 163 |
+
"▁me",
|
| 164 |
+
"▁los",
|
| 165 |
+
"ora",
|
| 166 |
+
"tra",
|
| 167 |
+
"▁T",
|
| 168 |
+
"és",
|
| 169 |
+
"ció",
|
| 170 |
+
"va",
|
| 171 |
+
"tr",
|
| 172 |
+
"lo",
|
| 173 |
+
"ari",
|
| 174 |
+
"enta",
|
| 175 |
+
"pa",
|
| 176 |
+
"si",
|
| 177 |
+
"▁N",
|
| 178 |
+
"▁",
|
| 179 |
+
"a",
|
| 180 |
+
"e",
|
| 181 |
+
"o",
|
| 182 |
+
"n",
|
| 183 |
+
"r",
|
| 184 |
+
"i",
|
| 185 |
+
"s",
|
| 186 |
+
"t",
|
| 187 |
+
"u",
|
| 188 |
+
"l",
|
| 189 |
+
"d",
|
| 190 |
+
"c",
|
| 191 |
+
"m",
|
| 192 |
+
"p",
|
| 193 |
+
"b",
|
| 194 |
+
"g",
|
| 195 |
+
",",
|
| 196 |
+
"k",
|
| 197 |
+
"z",
|
| 198 |
+
".",
|
| 199 |
+
"h",
|
| 200 |
+
"q",
|
| 201 |
+
"v",
|
| 202 |
+
"f",
|
| 203 |
+
"ó",
|
| 204 |
+
"x",
|
| 205 |
+
"é",
|
| 206 |
+
"í",
|
| 207 |
+
"E",
|
| 208 |
+
"y",
|
| 209 |
+
"á",
|
| 210 |
+
"j",
|
| 211 |
+
"?",
|
| 212 |
+
"P",
|
| 213 |
+
"A",
|
| 214 |
+
"!",
|
| 215 |
+
"C",
|
| 216 |
+
"ñ",
|
| 217 |
+
"S",
|
| 218 |
+
"L",
|
| 219 |
+
"B",
|
| 220 |
+
"ú",
|
| 221 |
+
"D",
|
| 222 |
+
"M",
|
| 223 |
+
"G",
|
| 224 |
+
"à",
|
| 225 |
+
"'",
|
| 226 |
+
":",
|
| 227 |
+
"è",
|
| 228 |
+
"H",
|
| 229 |
+
"T",
|
| 230 |
+
"ò",
|
| 231 |
+
"N",
|
| 232 |
+
"I",
|
| 233 |
+
"O",
|
| 234 |
+
"F",
|
| 235 |
+
"U",
|
| 236 |
+
"Q",
|
| 237 |
+
"-",
|
| 238 |
+
"R",
|
| 239 |
+
"V",
|
| 240 |
+
"J",
|
| 241 |
+
"ç",
|
| 242 |
+
"Y",
|
| 243 |
+
"K",
|
| 244 |
+
"Z",
|
| 245 |
+
"0",
|
| 246 |
+
"X",
|
| 247 |
+
"É",
|
| 248 |
+
"¿",
|
| 249 |
+
"2",
|
| 250 |
+
"1",
|
| 251 |
+
"w",
|
| 252 |
+
"ü",
|
| 253 |
+
"ï",
|
| 254 |
+
"W",
|
| 255 |
+
"5",
|
| 256 |
+
";",
|
| 257 |
+
")",
|
| 258 |
+
"3",
|
| 259 |
+
"4",
|
| 260 |
+
"(",
|
| 261 |
+
"·",
|
| 262 |
+
"7",
|
| 263 |
+
"Á",
|
| 264 |
+
"6",
|
| 265 |
+
"9",
|
| 266 |
+
"%",
|
| 267 |
+
"¡",
|
| 268 |
+
"8",
|
| 269 |
+
"\"",
|
| 270 |
+
"“",
|
| 271 |
+
"”",
|
| 272 |
+
"À",
|
| 273 |
+
"/",
|
| 274 |
+
"Ó",
|
| 275 |
+
"Í",
|
| 276 |
+
"Ú",
|
| 277 |
+
"–",
|
| 278 |
+
"ë",
|
| 279 |
+
"Ò",
|
| 280 |
+
"ã",
|
| 281 |
+
"−",
|
| 282 |
+
"È",
|
| 283 |
+
"Ñ",
|
| 284 |
+
"ö",
|
| 285 |
+
"ê",
|
| 286 |
+
"́",
|
| 287 |
+
"’",
|
| 288 |
+
"Ç",
|
| 289 |
+
"â",
|
| 290 |
+
"Ü",
|
| 291 |
+
"ô",
|
| 292 |
+
"õ",
|
| 293 |
+
"«",
|
| 294 |
+
"°",
|
| 295 |
+
"»",
|
| 296 |
+
"ä",
|
| 297 |
+
"_",
|
| 298 |
+
"ù",
|
| 299 |
+
"©",
|
| 300 |
+
"Â",
|
| 301 |
+
"Ö"
|
| 302 |
+
]
|