mengzi-bert-base

2.1K downloads 7 likes on ModelScope updated

ModelScope

langboat/mengzi-bert-base · model repository official

Open upstream ↗
Revision
master
Files
7
Downloaded from this source
2.1K

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 7 · 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 1.4 KiB f3d04437c926
    hashes
    LFS SHA256
    f3d04437c926962476701a7939d22f21400b4eb0bdd31a15f0012576f2d00932
  • config.json 849 B dba501050411
    hashes
    LFS SHA256
    dba501050411d5d0996c3ce1527b585074f5fcfbe79bebd28a7919fa7465ec0a
  • configuration.json 180 B af12f8296e2b
    hashes
    LFS SHA256
    af12f8296e2b17d23f32dcec9909d551ad50bcaca2601eccca6ef73bc532af38
  • pytorch_model.bin LFS 196.3 MiB fd84bdba8b6e
    hashes
    LFS SHA256
    fd84bdba8b6e9190de2f50f3dc991ec5a70e0eda4ffc794ceb4dda79f3f84be9
  • README.md 3.1 KiB 1b8052128ac1
    hashes
    LFS SHA256
    1b8052128ac1d2ccd8cdb9a158e0ba41b42e3e78455e7bab50ca449615ce5136
  • tokenizer.json 262.7 KiB 53ff61207898
    hashes
    LFS SHA256
    53ff61207898738bbdc000f38abebef01041c8d23b6270c11855fc692d0a3ad6
  • vocab.txt 107 KiB 45bbac6b341c
    hashes
    LFS SHA256
    45bbac6b341c319adc98a532532882e91a9cefc0329aa57bac9ae761c27b291c