Hugging Peers

albert-base-v2-RTE

☆ Save
by textattack text-classification pytorch
85 downloads 0 likes on ModelScope updated

ModelScope

textattack/albert-base-v2-RTE · model repository official

Open upstream ↗
Revision
master
Files
10
Downloaded from this source
85

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 10 · 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 KiB 498ac26f97d5
    hashes
    LFS SHA256
    498ac26f97d5d584bbb4d1a3f8a8106a80a3a03dceaf6d61941a436d9b3cfdc1
  • config.json 731 B 592f4e3b0ef2
    hashes
    LFS SHA256
    592f4e3b0ef22025c5fc1978b3d476b8d3a6bcf654e298ca557be8bf55f24794
  • configuration.json 77 B 90dccac936e4
    hashes
    LFS SHA256
    90dccac936e44dcb4567017a5dbb807b583604032fd53bfe2372a15881ed47e1
  • log.txt 1.9 KiB f16168ce18e4
    hashes
    LFS SHA256
    f16168ce18e4cd73cdc42437950bc3a78f35a92c260dc68dd9cbf5601fa28b53
  • pytorch_model.bin LFS 44.6 MiB 3a9cc3c4ae13
    hashes
    LFS SHA256
    3a9cc3c4ae1360650668c793735d1fbd8e17d6cc75f85baf19d9bcbb51e77db6
  • README.md 619 B 9be77aa44d1e
    hashes
    LFS SHA256
    9be77aa44d1e53bfe18dd96f3a5c8acf5b4befc7c35ff45d9d070510573338d6
  • special_tokens_map.json 156 B dafa474106cf
    hashes
    LFS SHA256
    dafa474106cf4c7bee4470cf371e915005d4fe7a664f88c4b512dc4e4f2f2476
  • spiece.model LFS 742.5 KiB fefb02b667a6
    hashes
    LFS SHA256
    fefb02b667a6c5c2fe27602d28e5fb3428f66ab89c7d6f388e7c8d44a02d0336
  • tokenizer_config.json 25 B 994f46754c5b
    hashes
    LFS SHA256
    994f46754c5bf4014f1aa92d34b1374319c3a6b3f702105cd5b742beaecd18ce
  • train_args.json 765 B e05dce86d4c8
    hashes
    LFS SHA256
    e05dce86d4c8aae7c48695f272fd26940e249c5240717db83195ad487315ca46