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skyline624/seren-autonome-models
seren-autonome-models is a machine learning model from skyline624. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
ONNX model bundle downloaded on first launch by the Seren Autonome Android app (embedded hub, on-device inference). Layout mirrors the app's external models dir.
Downloads · 30 days
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Updated Jul 29, 2026
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.litertlm6.2 GB · 79%
From the Hugging Face model README
ONNX model bundle downloaded on first launch by the Seren Autonome Android app (embedded hub, on-device inference). Layout mirrors the app's external models dir.
| Path | Size | Purpose | Upstream |
|---|---|---|---|
parakeet/encoder-model.int8.onnx | 652 MB | Parakeet TDT 0.6B v3 encoder (STT) | NVIDIA NeMo parakeet-tdt-0.6b-v3 (CC-BY-4.0) |
parakeet/decoder_joint-model.int8.onnx | 18 MB | Parakeet TDT decoder/joint | idem |
parakeet/nemo128.onnx | — | mel preprocessor | idem |
parakeet/vocab.txt | — | tokenizer vocab | idem |
embeddings/model.onnx | 539 MB | sentence embeddings (memory recall) | BGE-family |
embeddings/vocab.txt | — | tokenizer vocab | idem |
speaker/3dspeaker_eres2net_base_16k.onnx | 40 MB | speaker embedding | 3D-Speaker ERes2Net (Apache-2.0) |
speaker/segmentation_pyannote_3.onnx | 6 MB | speaker segmentation (diarization) | pyannote segmentation-3.0 (MIT) |
Weights are redistributed from their respective upstream projects under their original licenses; see each upstream for attribution and terms.