Instructions to use OpenVoiceOS/parakeet-rnnt-1.1b-es-coreml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use OpenVoiceOS/parakeet-rnnt-1.1b-es-coreml with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/parakeet-rnnt-1.1b-es-coreml") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Add CoreML export: parakeet-rnnt-1.1b-es-coreml
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
- vocab.json +258 -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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# parakeet-rnnt-1.1b-es-coreml
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CoreML export of [projecte-aina/parakeet-rnnt-1.1b_cv17_es_ep18_1270h](https://huggingface.co/projecte-aina/parakeet-rnnt-1.1b_cv17_es_ep18_1270h) 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/parakeet-rnnt-1.1b-es-coreml"})
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```
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metadata.json
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{
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"model_id": "projecte-aina/parakeet-rnnt-1.1b_cv17_es_ep18_1270h",
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| 3 |
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"model_type": "parakeet_rnnt",
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| 4 |
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"language": "",
|
| 5 |
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"sample_rate": 16000,
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| 6 |
+
"max_audio_seconds": 15.0,
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| 7 |
+
"max_audio_samples": 240000,
|
| 8 |
+
"vocab_size": 256,
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| 9 |
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"blank_id": 256,
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| 10 |
+
"checkpoint": {
|
| 11 |
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"type": "pretrained",
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| 12 |
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"model_id": "projecte-aina/parakeet-rnnt-1.1b_cv17_es_ep18_1270h"
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| 13 |
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},
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| 14 |
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"coreml": {
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| 15 |
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"compute_precision": "FLOAT32",
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| 16 |
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"quantization": "none"
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| 17 |
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},
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| 18 |
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"components": {
|
| 19 |
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"mel_encoder": {
|
| 20 |
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"path": "parakeet_mel_encoder.mlpackage",
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| 21 |
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"inputs": {
|
| 22 |
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"audio_signal": [
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1,
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240000
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| 25 |
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],
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| 26 |
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"audio_length": [
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| 27 |
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1
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| 28 |
+
]
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| 29 |
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},
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| 30 |
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"outputs": {
|
| 31 |
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"encoder": [
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| 32 |
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1,
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| 33 |
+
1024,
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| 34 |
+
188
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| 35 |
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],
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| 36 |
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"encoder_length": [
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| 37 |
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1
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| 38 |
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]
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| 39 |
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}
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| 40 |
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},
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| 41 |
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"decoder": {
|
| 42 |
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"path": "parakeet_decoder.mlpackage",
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| 43 |
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"inputs": {
|
| 44 |
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"targets": [
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| 45 |
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1,
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1
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| 47 |
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],
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| 48 |
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"target_length": [
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1
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],
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| 51 |
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"h_in": [
|
| 52 |
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2,
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| 53 |
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1,
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| 54 |
+
640
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| 55 |
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],
|
| 56 |
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"c_in": [
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| 57 |
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2,
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| 58 |
+
1,
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| 59 |
+
640
|
| 60 |
+
]
|
| 61 |
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},
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| 62 |
+
"outputs": {
|
| 63 |
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"decoder": [
|
| 64 |
+
1,
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| 65 |
+
640,
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| 66 |
+
1
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| 67 |
+
],
|
| 68 |
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"h_out": [
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2,
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1,
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+
640
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],
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"c_out": [
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2,
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1,
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640
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| 77 |
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]
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}
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},
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| 80 |
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"joint_decision_single_step": {
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| 81 |
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"path": "parakeet_joint_decision_single_step.mlpackage",
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| 82 |
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"inputs": {
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| 83 |
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"encoder_step": [
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1,
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1024,
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1
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],
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"decoder_step": [
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1,
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640,
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1
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]
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},
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"outputs": {
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"token_id": [
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1,
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1,
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1
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],
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"token_prob": [
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1,
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1,
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1
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],
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"duration": [
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1,
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1,
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1
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]
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}
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| 111 |
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}
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| 112 |
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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 sha256:0e68c96e2aa3d5631ffcbebab583fe2cd7dabbae9ed9ee3fce65791d128b3e8c
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size 8791
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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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| 2 |
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oid sha256:e5966a1a680a8c34daea06a2aac176bd5e835905f3838b22ae734236810d1245
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size 26893312
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parakeet_decoder.mlpackage/Manifest.json
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{
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"4F1217C0-4AA5-45E6-87C0-30FF0C6B6D94": {
|
| 5 |
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"author": "com.apple.CoreML",
|
| 6 |
+
"description": "CoreML Model Specification",
|
| 7 |
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"name": "model.mlmodel",
|
| 8 |
+
"path": "com.apple.CoreML/model.mlmodel"
|
| 9 |
+
},
|
| 10 |
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"C18716B8-80E8-4DC2-99E7-1F591673C3E0": {
|
| 11 |
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"author": "com.apple.CoreML",
|
| 12 |
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"description": "CoreML Model Weights",
|
| 13 |
+
"name": "weights",
|
| 14 |
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"path": "com.apple.CoreML/weights"
|
| 15 |
+
}
|
| 16 |
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},
|
| 17 |
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"rootModelIdentifier": "4F1217C0-4AA5-45E6-87C0-30FF0C6B6D94"
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| 18 |
+
}
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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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| 2 |
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oid sha256:8eec5676ab53038daca5aa15cd5b3f49e7f6f322a1cec72cf8a42129b065c91d
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| 3 |
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size 5362
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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 |
+
oid sha256:94e09b1b80dd945caf45318402c3c3226c565787b99bc5aec05c8928b9617b06
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| 3 |
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size 4924416
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parakeet_joint_decision_single_step.mlpackage/Manifest.json
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{
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| 2 |
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"fileFormatVersion": "1.0.0",
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| 3 |
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"itemInfoEntries": {
|
| 4 |
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"5418E53F-B77F-4CCD-BB3C-8C0A0686B252": {
|
| 5 |
+
"author": "com.apple.CoreML",
|
| 6 |
+
"description": "CoreML Model Specification",
|
| 7 |
+
"name": "model.mlmodel",
|
| 8 |
+
"path": "com.apple.CoreML/model.mlmodel"
|
| 9 |
+
},
|
| 10 |
+
"9171CF3D-3C94-4987-89EC-5401D2079EB7": {
|
| 11 |
+
"author": "com.apple.CoreML",
|
| 12 |
+
"description": "CoreML Model Weights",
|
| 13 |
+
"name": "weights",
|
| 14 |
+
"path": "com.apple.CoreML/weights"
|
| 15 |
+
}
|
| 16 |
+
},
|
| 17 |
+
"rootModelIdentifier": "5418E53F-B77F-4CCD-BB3C-8C0A0686B252"
|
| 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 |
+
oid sha256:10e129eff6410d363e75b8e7ccbe545ab081f2b1fd22aa055eabfc369b349491
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| 3 |
+
size 1800312
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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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| 2 |
+
oid sha256:cbdb66f80ae15d242ff288201b573e2977c6b2d9486a60b60e2f3a6f8b63b9ef
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| 3 |
+
size 4135676224
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parakeet_mel_encoder.mlpackage/Manifest.json
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{
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| 2 |
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"fileFormatVersion": "1.0.0",
|
| 3 |
+
"itemInfoEntries": {
|
| 4 |
+
"912E1732-7E7E-40A7-BF38-EC7B6EB3B110": {
|
| 5 |
+
"author": "com.apple.CoreML",
|
| 6 |
+
"description": "CoreML Model Specification",
|
| 7 |
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"name": "model.mlmodel",
|
| 8 |
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"path": "com.apple.CoreML/model.mlmodel"
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| 9 |
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},
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| 10 |
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"9D3674CD-5DA1-4EC3-B0FE-3E925E76CD32": {
|
| 11 |
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"author": "com.apple.CoreML",
|
| 12 |
+
"description": "CoreML Model Weights",
|
| 13 |
+
"name": "weights",
|
| 14 |
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"path": "com.apple.CoreML/weights"
|
| 15 |
+
}
|
| 16 |
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},
|
| 17 |
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"rootModelIdentifier": "912E1732-7E7E-40A7-BF38-EC7B6EB3B110"
|
| 18 |
+
}
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vocab.json
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|
| 1 |
+
[
|
| 2 |
+
"<unk>",
|
| 3 |
+
"▁e",
|
| 4 |
+
"▁d",
|
| 5 |
+
"▁de",
|
| 6 |
+
"▁l",
|
| 7 |
+
"▁c",
|
| 8 |
+
"▁s",
|
| 9 |
+
"▁p",
|
| 10 |
+
"os",
|
| 11 |
+
"en",
|
| 12 |
+
"▁a",
|
| 13 |
+
"er",
|
| 14 |
+
"on",
|
| 15 |
+
"es",
|
| 16 |
+
"ra",
|
| 17 |
+
"▁la",
|
| 18 |
+
"ci",
|
| 19 |
+
"ta",
|
| 20 |
+
"or",
|
| 21 |
+
"▁es",
|
| 22 |
+
"▁en",
|
| 23 |
+
"▁m",
|
| 24 |
+
"ar",
|
| 25 |
+
"in",
|
| 26 |
+
"te",
|
| 27 |
+
"as",
|
| 28 |
+
"ad",
|
| 29 |
+
"un",
|
| 30 |
+
"an",
|
| 31 |
+
"▁el",
|
| 32 |
+
"re",
|
| 33 |
+
"al",
|
| 34 |
+
"ue",
|
| 35 |
+
"ti",
|
| 36 |
+
"▁f",
|
| 37 |
+
"▁se",
|
| 38 |
+
"▁y",
|
| 39 |
+
"▁un",
|
| 40 |
+
"is",
|
| 41 |
+
"▁su",
|
| 42 |
+
"▁con",
|
| 43 |
+
"▁h",
|
| 44 |
+
"to",
|
| 45 |
+
"▁n",
|
| 46 |
+
"ro",
|
| 47 |
+
"ón",
|
| 48 |
+
"do",
|
| 49 |
+
"ic",
|
| 50 |
+
"om",
|
| 51 |
+
"▁v",
|
| 52 |
+
"▁t",
|
| 53 |
+
"ri",
|
| 54 |
+
"id",
|
| 55 |
+
"▁b",
|
| 56 |
+
"▁re",
|
| 57 |
+
"ente",
|
| 58 |
+
"▁g",
|
| 59 |
+
"ción",
|
| 60 |
+
"ol",
|
| 61 |
+
"▁los",
|
| 62 |
+
"▁in",
|
| 63 |
+
"tu",
|
| 64 |
+
"▁al",
|
| 65 |
+
"▁com",
|
| 66 |
+
"que",
|
| 67 |
+
"▁del",
|
| 68 |
+
"▁o",
|
| 69 |
+
"la",
|
| 70 |
+
"res",
|
| 71 |
+
"di",
|
| 72 |
+
"le",
|
| 73 |
+
"▁por",
|
| 74 |
+
"mente",
|
| 75 |
+
"de",
|
| 76 |
+
"cu",
|
| 77 |
+
"ent",
|
| 78 |
+
"mp",
|
| 79 |
+
"▁una",
|
| 80 |
+
"ía",
|
| 81 |
+
"▁que",
|
| 82 |
+
"▁las",
|
| 83 |
+
"ado",
|
| 84 |
+
"ter",
|
| 85 |
+
"▁pa",
|
| 86 |
+
"ia",
|
| 87 |
+
"il",
|
| 88 |
+
"ran",
|
| 89 |
+
"▁pro",
|
| 90 |
+
"cion",
|
| 91 |
+
"▁fue",
|
| 92 |
+
"ma",
|
| 93 |
+
"▁ha",
|
| 94 |
+
"▁ca",
|
| 95 |
+
"ig",
|
| 96 |
+
"▁esta",
|
| 97 |
+
"da",
|
| 98 |
+
"▁j",
|
| 99 |
+
"ec",
|
| 100 |
+
"lo",
|
| 101 |
+
"us",
|
| 102 |
+
"ás",
|
| 103 |
+
"▁no",
|
| 104 |
+
"io",
|
| 105 |
+
"▁cu",
|
| 106 |
+
"ca",
|
| 107 |
+
"ica",
|
| 108 |
+
"▁des",
|
| 109 |
+
"ada",
|
| 110 |
+
"▁par",
|
| 111 |
+
"▁per",
|
| 112 |
+
"▁ac",
|
| 113 |
+
"iv",
|
| 114 |
+
"tra",
|
| 115 |
+
"mb",
|
| 116 |
+
"qu",
|
| 117 |
+
"▁como",
|
| 118 |
+
"cia",
|
| 119 |
+
"▁est",
|
| 120 |
+
"el",
|
| 121 |
+
"▁para",
|
| 122 |
+
"era",
|
| 123 |
+
"▁mu",
|
| 124 |
+
"iz",
|
| 125 |
+
"ba",
|
| 126 |
+
"ch",
|
| 127 |
+
"enta",
|
| 128 |
+
"tor",
|
| 129 |
+
"go",
|
| 130 |
+
"▁ti",
|
| 131 |
+
"idad",
|
| 132 |
+
"co",
|
| 133 |
+
"ita",
|
| 134 |
+
"ru",
|
| 135 |
+
"ien",
|
| 136 |
+
"▁ex",
|
| 137 |
+
"pa",
|
| 138 |
+
"tiv",
|
| 139 |
+
"▁sus",
|
| 140 |
+
"mo",
|
| 141 |
+
"▁tra",
|
| 142 |
+
"▁to",
|
| 143 |
+
"dad",
|
| 144 |
+
"▁an",
|
| 145 |
+
"ciones",
|
| 146 |
+
"▁ar",
|
| 147 |
+
"tos",
|
| 148 |
+
"▁di",
|
| 149 |
+
"▁cons",
|
| 150 |
+
"▁si",
|
| 151 |
+
"ales",
|
| 152 |
+
"▁ma",
|
| 153 |
+
"ul",
|
| 154 |
+
"▁más",
|
| 155 |
+
"án",
|
| 156 |
+
"almente",
|
| 157 |
+
"tan",
|
| 158 |
+
"dos",
|
| 159 |
+
"▁me",
|
| 160 |
+
"ier",
|
| 161 |
+
"▁son",
|
| 162 |
+
"▁lo",
|
| 163 |
+
"ici",
|
| 164 |
+
"▁te",
|
| 165 |
+
"uer",
|
| 166 |
+
"ce",
|
| 167 |
+
"▁dis",
|
| 168 |
+
"▁na",
|
| 169 |
+
"bre",
|
| 170 |
+
"ir",
|
| 171 |
+
"ión",
|
| 172 |
+
"rim",
|
| 173 |
+
"tro",
|
| 174 |
+
"▁as",
|
| 175 |
+
"▁ser",
|
| 176 |
+
"tes",
|
| 177 |
+
"man",
|
| 178 |
+
"▁po",
|
| 179 |
+
"les",
|
| 180 |
+
"ten",
|
| 181 |
+
"tas",
|
| 182 |
+
"ie",
|
| 183 |
+
"gu",
|
| 184 |
+
"ers",
|
| 185 |
+
"tura",
|
| 186 |
+
"▁este",
|
| 187 |
+
"ros",
|
| 188 |
+
"▁or",
|
| 189 |
+
"▁le",
|
| 190 |
+
"lan",
|
| 191 |
+
"du",
|
| 192 |
+
"▁col",
|
| 193 |
+
"ari",
|
| 194 |
+
"pe",
|
| 195 |
+
"ene",
|
| 196 |
+
"po",
|
| 197 |
+
"▁pr",
|
| 198 |
+
"ina",
|
| 199 |
+
"jo",
|
| 200 |
+
"▁prim",
|
| 201 |
+
"ores",
|
| 202 |
+
"▁so",
|
| 203 |
+
"▁res",
|
| 204 |
+
"im",
|
| 205 |
+
"▁ent",
|
| 206 |
+
"▁ob",
|
| 207 |
+
"ico",
|
| 208 |
+
"▁está",
|
| 209 |
+
"gun",
|
| 210 |
+
"▁car",
|
| 211 |
+
"za",
|
| 212 |
+
"ras",
|
| 213 |
+
"ido",
|
| 214 |
+
"▁dos",
|
| 215 |
+
"▁i",
|
| 216 |
+
"vo",
|
| 217 |
+
"ble",
|
| 218 |
+
"ga",
|
| 219 |
+
"ida",
|
| 220 |
+
"▁ta",
|
| 221 |
+
"ados",
|
| 222 |
+
"▁for",
|
| 223 |
+
"am",
|
| 224 |
+
"▁",
|
| 225 |
+
"e",
|
| 226 |
+
"a",
|
| 227 |
+
"o",
|
| 228 |
+
"s",
|
| 229 |
+
"n",
|
| 230 |
+
"r",
|
| 231 |
+
"i",
|
| 232 |
+
"l",
|
| 233 |
+
"d",
|
| 234 |
+
"t",
|
| 235 |
+
"c",
|
| 236 |
+
"u",
|
| 237 |
+
"m",
|
| 238 |
+
"p",
|
| 239 |
+
"b",
|
| 240 |
+
"g",
|
| 241 |
+
"v",
|
| 242 |
+
"f",
|
| 243 |
+
"ó",
|
| 244 |
+
"y",
|
| 245 |
+
"h",
|
| 246 |
+
"í",
|
| 247 |
+
"á",
|
| 248 |
+
"j",
|
| 249 |
+
"z",
|
| 250 |
+
"q",
|
| 251 |
+
"ñ",
|
| 252 |
+
"x",
|
| 253 |
+
"ú",
|
| 254 |
+
"k",
|
| 255 |
+
"w",
|
| 256 |
+
"é",
|
| 257 |
+
"ü"
|
| 258 |
+
]
|