Add native CUDA weights and update the model card
Browse filesNative safetensors for the scriptrs CUDA backend (Parakeet TDT v2 and v3, Silero VAD v5), a card covering every runtime, a LICENSE covering Parakeet and Silero files, and provenance for the native files.
- LICENSE +16 -4
- PROVENANCE-native.json +40 -0
- README.md +93 -16
- parakeet-v2/model.safetensors +3 -0
- parakeet-v3/model.safetensors +3 -0
- vad/silero-vad-v5.safetensors +3 -0
LICENSE
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Copyright (c) NVIDIA Corporation.
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and
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You must give appropriate credit to
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https://creativecommons.org/licenses/by/4.0/legalcode
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Parakeet files (parakeet-v2/, parakeet-v3/)
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SPDX-License-Identifier: CC-BY-4.0
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Copyright (c) NVIDIA Corporation.
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These files are conversions of NVIDIA Parakeet TDT 0.6B v2 and v3 to Core ML
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and to a safetensors layout for scriptrs, and are licensed under Creative
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Commons Attribution 4.0 International. You must give appropriate credit to
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NVIDIA.
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https://creativecommons.org/licenses/by/4.0/legalcode
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Silero VAD files (vad/)
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SPDX-License-Identifier: MIT
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Copyright (c) 2020-present Silero Team
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These files are conversions of Silero VAD and are licensed under the MIT
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License.
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https://github.com/snakers4/silero-vad/blob/master/LICENSE
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PROVENANCE-native.json
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{
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"schema_version": 1,
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"artifact_id": "scriptrs-native-cuda",
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"runtime": "scriptrs_cuda",
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"format": "scriptrs-native",
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"format_version": "2",
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"exporter": "dev-tools/nemo/export_native.py",
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"files": [
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{
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"path": "parakeet-v2/model.safetensors",
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"size": 2471715672,
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"sha256": "ad48c4903e9bec8ad0004959d85ab9a92ad520294f0298c7822e45dcfd0dec42",
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"license": "CC-BY-4.0",
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"source": "nvidia/parakeet-tdt-0.6b-v2",
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"source_sha256": "d99e39955c9d3d0350d8fb7c75e40c64a2b2eaeb003883d7c941fd2e8747b28c",
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"toolkit": "nemo-toolkit 3.0.0"
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},
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{
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"path": "parakeet-v3/model.safetensors",
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"size": 2508444512,
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"sha256": "fc79fd91aca14a2b02ba591d066d4e3cd088ef7321f6966dfd0b9c85038fbd47",
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"license": "CC-BY-4.0",
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"source": "nvidia/parakeet-tdt-0.6b-v3",
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"source_sha256": "3cbdc85877e668ca7b82d0d56770eb1fac76691f55d6b97545e8d61ca588d10d",
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"toolkit": "nemo-toolkit 3.0.0"
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},
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{
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"path": "vad/silero-vad-v5.safetensors",
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"size": 1240188,
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"sha256": "88f62b0eea97c55d6ccee086d1ca67b6f733c29ceee4263e30fe5425bdddc187",
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"license": "MIT",
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"source": "silero-vad 5.1.2 (16 kHz branch)",
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"source_sha256": "85c48e1f0ecb604e5d2a268f3ccfb912d4f7e935acdc86af5a3fc5b0aea7b29a"
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}
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],
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"shared_with_coreml": [
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"parakeet-v2/vocab.txt",
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"parakeet-v3/parakeet_vocab.json"
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]
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}
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README.md
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---
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tags:
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- coreml
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- automatic-speech-recognition
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- parakeet
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---
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# scriptrs models
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-
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- Parakeet TDT v2 CoreML split models
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- vocabulary file
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- Silero VAD CoreML model for the `long-form` feature
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- `parakeet-v2/encoder.mlmodelc`
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- `parakeet-v2/decoder.mlmodelc`
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- `parakeet-v2/joint-decision.mlmodelc`
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- `parakeet-v2/vocab.txt`
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- `vad/silero-vad.mlmodelc`
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---
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license: cc-by-4.0
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library_name: scriptrs
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pipeline_tag: automatic-speech-recognition
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base_model:
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- nvidia/parakeet-tdt-0.6b-v2
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- nvidia/parakeet-tdt-0.6b-v3
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base_model_relation: quantized
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language:
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- en
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- es
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- fr
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- de
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- bg
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- hr
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- cs
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- da
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- nl
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- et
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- fi
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- el
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- hu
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- it
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- lv
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- lt
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- mt
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- pl
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- pt
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- ro
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- sk
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- sl
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- sv
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- ru
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- uk
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tags:
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- parakeet
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- automatic-speech-recognition
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- coreml
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- cuda
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- safetensors
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- rust
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---
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# scriptrs models
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Model files for [scriptrs](https://github.com/avencera/scriptrs), a Rust library for fast NVIDIA Parakeet TDT v2 and v3 speech-to-text on Core ML (macOS) and native CUDA (Linux). With the default `online` feature, scriptrs downloads these files on first use from a pinned revision of this repository.
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These are format conversions of NVIDIA's models, not new or retrained models. The native CUDA weights are NVIDIA's FP32 weights with their original names; scriptrs converts selected layers to FP16 on the GPU at load time.
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## Speed
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RTX 5090, Parakeet v3, LibriSpeech test-clean (5.4 h), one utterance at a time:
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| | Speed (x real time) | WER |
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|---|---|---|
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| scriptrs CUDA (FP16 default) | 1416x | 1.93 % |
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| NVIDIA NeMo (PyTorch) | 477x | 1.93 % |
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| parakeet-rs 0.4.3 (ONNX Runtime) | 253x | 1.93 % |
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On the 44 Earnings-21 calls (39 h), long-form runs at 3443x with 8.24 % pooled WER. More results are in the [scriptrs README](https://github.com/avencera/scriptrs#cuda).
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## Usage
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```toml
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# macOS, Core ML
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scriptrs = "0.2"
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# Linux, NVIDIA GPU (not yet in a crates.io release)
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scriptrs = { git = "https://github.com/avencera/scriptrs", features = ["cuda"] }
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```
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```rust
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use scriptrs::{ModelBundle, ParakeetDeployment, TranscriptionPipeline};
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// Core ML on macOS
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let pipeline = TranscriptionPipeline::from_pretrained()?;
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// native CUDA on Linux
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let bundle = ModelBundle::from_pretrained_native(ParakeetDeployment::v3())?;
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let pipeline = TranscriptionPipeline::from_bundle(bundle)?;
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let result = pipeline.run(&audio)?; // mono 16 kHz f32 samples
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```
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For offline setups, download this repository and set `SCRIPTRS_MODELS_DIR` to its local path.
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## Contents
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| Path | Runtime | Source |
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|---|---|---|
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| `parakeet-v2/encoder.mlmodelc`, `decoder.mlmodelc`, `joint-decision.mlmodelc` | Core ML | [nvidia/parakeet-tdt-0.6b-v2](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2) |
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| `parakeet-v3/encoder.mlmodelc`, `decoder.mlmodelc`, `joint-decision.mlmodelc` | Core ML | [nvidia/parakeet-tdt-0.6b-v3](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3), via [FluidInference/parakeet-tdt-0.6b-v3-coreml](https://huggingface.co/FluidInference/parakeet-tdt-0.6b-v3-coreml) |
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| `parakeet-v2/model.safetensors` | CUDA | nvidia/parakeet-tdt-0.6b-v2, exported from the NeMo checkpoint |
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| `parakeet-v3/model.safetensors` | CUDA | nvidia/parakeet-tdt-0.6b-v3, exported from the NeMo checkpoint |
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| `parakeet-v2/vocab.txt`, `parakeet-v3/parakeet_vocab.json` | both | NVIDIA tokenizers |
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| `vad/silero-vad.mlmodelc` | Core ML | [Silero VAD](https://github.com/snakers4/silero-vad) |
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| `vad/silero-vad-v5.safetensors` | CUDA | Silero VAD 5.1.2, 16 kHz branch |
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The native weight files record their source and its SHA-256 in the safetensors metadata. `PROVENANCE.json` and `PROVENANCE-native.json` list sources, revisions and checksums.
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## License
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The Parakeet files are derived from NVIDIA Parakeet TDT 0.6B v2 and v3, licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Credit: NVIDIA. Changes: converted to Core ML and to a safetensors layout for scriptrs. The Silero VAD files are derived from Silero VAD, licensed under the MIT License. See `LICENSE`.
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parakeet-v2/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ad48c4903e9bec8ad0004959d85ab9a92ad520294f0298c7822e45dcfd0dec42
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size 2471715672
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parakeet-v3/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fc79fd91aca14a2b02ba591d066d4e3cd088ef7321f6966dfd0b9c85038fbd47
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size 2508444512
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vad/silero-vad-v5.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:88f62b0eea97c55d6ccee086d1ca67b6f733c29ceee4263e30fe5425bdddc187
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size 1240188
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