Florence-2-base-ft

8.1K downloads 0 likes on ModelScope updated

ModelScope

AI-ModelScope/Florence-2-base-ft · model repository official

Open upstream ↗
Revision
master
Files
17
Downloaded from this source
8.1K

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 17 · 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 1.6 KiB f60f097630e8
    hashes
    LFS SHA256
    f60f097630e8ad0059c2196b2fb3b047b4bca94b9bff4d48a7105124e34d7f00
  • CODE_OF_CONDUCT.md 444 B 9daeae709a0b
    hashes
    LFS SHA256
    9daeae709a0bd71bcfd1c96dc5822ecec5210327eff929da64b0ae7f8faf1444
  • config.json 2.4 KiB c666d0fe0172
    hashes
    LFS SHA256
    c666d0fe0172d46e115e8fba6cd93cd83714575b33a73005cab8d24ce2a3aa8f
  • configuration.json 71 B b94cdc528e8d
    hashes
    LFS SHA256
    b94cdc528e8d57a1fc83e961dc79a11c0db8f117960402fc0675ce9952044fec
  • configuration_florence2.py 14.8 KiB 653bafddc965
    hashes
    LFS SHA256
    653bafddc9651eaff1583a16db4a2bb27d33ec7d541dfab7201aaa4ecaa1cfbf
  • LICENSE 1.1 KiB c2cfccb812fe
    hashes
    LFS SHA256
    c2cfccb812fe482101a8f04597dfc5a9991a6b2748266c47ac91b6a5aae15383
  • model.safetensors LFS 441.8 MiB 58757d657ff4
    hashes
    LFS SHA256
    58757d657ff44051314c8030b68e04cb1bb618ca9a4885418f111f6fb708185a
  • modeling_florence2.py 124.4 KiB 5bb7aa72c6ba
    hashes
    LFS SHA256
    5bb7aa72c6ba62e96e1bbae6bc1aaf7b4e8e28cdfc62e670de3d5b67eeab1fdf
  • preprocessor_config.json 806 B 2f5921bbc53c
    hashes
    LFS SHA256
    2f5921bbc53c7cc04251e1027b45b1cec726276be6db23d1bb40641bfbe2cf29
  • processing_florence2.py 45.3 KiB 4bd7158536cb
    hashes
    LFS SHA256
    4bd7158536cbf1c7891fc8efd94437d79fd09f07f539c7398fab8a885d7d8bca
  • pytorch_model.bin LFS 442.9 MiB 664e363a9082
    hashes
    LFS SHA256
    664e363a908207ce37b8128ec3087fae0e17252b5e036882e954f69369f08002
  • README.md 14.5 KiB 092b90e814cd
    hashes
    LFS SHA256
    092b90e814cd6c15f734b15a81e294b4d12c92d12bff3c674a9474ca935ecd1c
  • SECURITY.md 2.6 KiB 7b6976eec43e
    hashes
    LFS SHA256
    7b6976eec43edfa68b79a459dd089c56b7a395916dbf1a01bd11e6d86e12128f
  • SUPPORT.md 1.2 KiB 149773411caf
    hashes
    LFS SHA256
    149773411caf2c59cb1a6bfb2c6f070d1d054f1f018e7a80be319a8c384eeaf5
  • tokenizer.json 1.3 MiB 847bbeab6174
    hashes
    LFS SHA256
    847bbeab6174d66a88898f729d52fa8d355fafe1bea101cf960dd404581df70e
  • tokenizer_config.json 34 B 79ffcf43af8e
    hashes
    LFS SHA256
    79ffcf43af8ebda99d165f61d243180da2e2639952e41e71e11611c18770489c
  • vocab.json 1 MiB 394fdc63c71a
    hashes
    LFS SHA256
    394fdc63c71aabe0a9b97117f5d62fb5fcc4d59b2b3ea929a3929e6a53217b3c