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Pyannote-Segmentation-MLX

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by aufklarer voice-activity-detection mlx mit
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aufklarer/Pyannote-Segmentation-MLX · model repository official

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Revision
abef01102770
Files
4
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3.4K

Provider-specific. This path, revision and file list belong to Hugging Face alone. A different source for the same model may publish different files, or the same names with different contents — which is why nothing here is merged across providers.

Tensor information · safetensors

Parameters
1.5M
Precision · F32
1.5M params

Parameter counts and precision come from the provider's safetensors metadata. Per-tensor shapes live in the file header and are not part of our index.

Files 4 · revision abef01102770

Hashes: Git OID identifies the file in the repository; LFS SHA256 is the fingerprint of a large file's contents; Xet is the provider's own content fingerprint. Expand “hashes” on any row for the full values.

  • .gitattributes 1.5 KiB
    hashes
    Git OID
    a6344aac8c09253b3b630fb776ae94478aa0275b
  • config.json 644 B
    hashes
    Git OID
    79c692efdb741e758e16d8784f674ee43dc68411
  • model.safetensors LFS 5.7 MiB d1630fa2c22f
    hashes
    Git OID
    29fab00d0abcd634b45ad733d42408a08dd84b6f
    LFS SHA256
    d1630fa2c22f47e4c89034f8d5e3aff99884f55347d48ce70dd306328b4421f5
    Xet hash
    f44ea51477b29e1e8612ef8018034e05d208f98dca941b5024d972fcbc87cab1
    Pointer size
    132 B
  • README.md 3.1 KiB
    hashes
    Git OID
    905182839b2679c2fb13011bac65f1a8dc00bede