Hugging Peers

RMBG-2.0

☆ Save
by maple775885 image-segmentation pytorch other
1.2K downloads 8 likes on ModelScope updated

ModelScope

maple775885/RMBG-2.0 · model repository official

Open upstream ↗
Revision
master
Files
14
Downloaded from this source
1.2K

Provider-specific. This path, revision and file list belong to ModelScope 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.

Files 14 · revision master

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 2.1 KiB 115d0882db20
    hashes
    LFS SHA256
    115d0882db2021dc00bb0e4696bcef70fbf362af27274f1be5d1e3635825cbda
  • birefnet.py 89.2 KiB 8f498727f4bd
    hashes
    LFS SHA256
    8f498727f4bdb7dfaa4d66190f0ebf55392bda62c1b4f224be39f9b750a8915d
  • BiRefNet_config.py 298 B e7b8c2a74f6c
    hashes
    LFS SHA256
    e7b8c2a74f6cea6a59553d517f71d47f2c1d90e670a13416af17c25fe2f3dc52
  • collage5.png 4.3 MiB f9f802564aa1
    hashes
    LFS SHA256
    f9f802564aa1e3a7c90762c7e65b77007f081cb179cdd9b42607bad3b1fdaf16
  • config.json 405 B c97ea21569da
    hashes
    LFS SHA256
    c97ea21569daf66b205491a4635147dd3bc42c7c168b89d7d75b53f67ef548ae
  • configuration.json 28 B f011e64c8c36
    hashes
    LFS SHA256
    f011e64c8c365167adefa2b1b1e266cd8c6d8394849d13b641b6e4a36ce3cc4b
  • diagram1.png 20.8 KiB 74afae5fa37e
    hashes
    LFS SHA256
    74afae5fa37eeb45758d26c96293d02fc6a5be353b57d3a00c2b352f28ca22b6
  • ffhq-dataset-v2.json LFS 255.4 MiB 1be5c2d1a781
    hashes
    LFS SHA256
    1be5c2d1a78196d45a9600558c04b46dffefa217b7c664d5be38ed28a4d9a0ee
  • model.safetensors LFS 843.9 MiB 566ed80c3d95
    hashes
    LFS SHA256
    566ed80c3d95f87ada6864d4cbe2290a1c5eb1c7bb0b123e984f60f76b02c3a7
  • preprocessor_config.json 391 B 447d9ccb2c41
    hashes
    LFS SHA256
    447d9ccb2c4129ab0ca045fc293e7d79dbc45e293ac1e94818d865db77f65a54
  • pytorch_model.bin LFS 844.1 MiB 0986c2881028
    hashes
    LFS SHA256
    0986c2881028a2d0ef9b638ab06bc4cfe7c529760d451eaa7098ade2592015f2
  • README.md 4.9 KiB 7b78bba07cc9
    hashes
    LFS SHA256
    7b78bba07cc9cf791b88c93cbc882ea44f62e564267cbc1665bc1fbbe736ed4f
  • t4.png 2.1 MiB 43a9453f567d
    hashes
    LFS SHA256
    43a9453f567d9bff7fe4481205575bbf302499379047ee6073247315452ba8fb
  • zhishi_algorithm.tar LFS 17.1 GiB 92de667f1a6b
    hashes
    LFS SHA256
    92de667f1a6b0502e9e7ab81136d400b4a5f319c512dfa14c24a9a2b4f53a692