{
  "columns": [
    "gated_access",
    "has_license_disclosure",
    "last_modified",
    "model_id",
    "model_revision",
    "pipeline_tag",
    "publisher_account",
    "reported_base_models",
    "reported_languages",
    "reported_license",
    "reported_license_link",
    "reported_license_name",
    "reported_training_datasets",
    "source_url"
  ],
  "rows": [
    {
      "gated_access": false,
      "has_license_disclosure": true,
      "last_modified": "2026-06-01T06:29:13.000Z",
      "model_id": "sentence-transformers/all-MiniLM-L6-v2",
      "model_revision": "1110a243fdf4706b3f48f1d95db1a4f5529b4d41",
      "pipeline_tag": "sentence-similarity",
      "publisher_account": "sentence-transformers",
      "reported_base_models": "[\"nreimers/MiniLM-L6-H384-uncased\"]",
      "reported_languages": "en",
      "reported_license": "apache-2.0",
      "reported_license_link": null,
      "reported_license_name": null,
      "reported_training_datasets": "[\"s2orc\",\"flax-sentence-embeddings/stackexchange_xml\",\"ms_marco\",\"gooaq\",\"yahoo_answers_topics\",\"code_search_net\",\"search_qa\",\"eli5\",\"snli\",\"multi_nli\",\"wikihow\",\"natural_questions\",\"trivia_qa\",\"embedding-data/sentence-compression\",\"embedding-data/flickr30k-captions\",\"embedding-data/altlex\",\"embedding-data/simple-wiki\",\"embedding-data/QQP\",\"embedding-data/SPECTER\",\"embedding-data/PAQ_pairs\",\"embedding-data/WikiAnswers\"]",
      "source_url": "https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2"
    },
    {
      "gated_access": false,
      "has_license_disclosure": true,
      "last_modified": "2026-08-09T15:22:24.000Z",
      "model_id": "cross-encoder/ms-marco-MiniLM-L6-v2",
      "model_revision": "233902d25c440f23af6f7d6e94d2946bac0bee0a",
      "pipeline_tag": "text-ranking",
      "publisher_account": "cross-encoder",
      "reported_base_models": "[\"cross-encoder/ms-marco-MiniLM-L12-v2\"]",
      "reported_languages": "[\"en\"]",
      "reported_license": "apache-2.0",
      "reported_license_link": null,
      "reported_license_name": null,
      "reported_training_datasets": "[\"sentence-transformers/msmarco\"]",
      "source_url": "https://huggingface.co/cross-encoder/ms-marco-MiniLM-L6-v2"
    },
    {
      "gated_access": false,
      "has_license_disclosure": true,
      "last_modified": "2024-02-22T03:36:23.000Z",
      "model_id": "BAAI/bge-small-en-v1.5",
      "model_revision": "5c38ec7c405ec4b44b94cc5a9bb96e735b38267a",
      "pipeline_tag": "feature-extraction",
      "publisher_account": "BAAI",
      "reported_base_models": null,
      "reported_languages": "[\"en\"]",
      "reported_license": "mit",
      "reported_license_link": null,
      "reported_license_name": null,
      "reported_training_datasets": null,
      "source_url": "https://huggingface.co/BAAI/bge-small-en-v1.5"
    },
    {
      "gated_access": false,
      "has_license_disclosure": true,
      "last_modified": "2024-02-29T10:20:20.000Z",
      "model_id": "google/electra-base-discriminator",
      "model_revision": "1ae76a97c7e84a4e640876a07453fccd636f0667",
      "pipeline_tag": null,
      "publisher_account": "google",
      "reported_base_models": null,
      "reported_languages": "en",
      "reported_license": "apache-2.0",
      "reported_license_link": null,
      "reported_license_name": null,
      "reported_training_datasets": null,
      "source_url": "https://huggingface.co/google/electra-base-discriminator"
    },
    {
      "gated_access": false,
      "has_license_disclosure": true,
      "last_modified": "2024-02-19T11:06:12.000Z",
      "model_id": "google-bert/bert-base-uncased",
      "model_revision": "86b5e0934494bd15c9632b12f734a8a67f723594",
      "pipeline_tag": "fill-mask",
      "publisher_account": "google-bert",
      "reported_base_models": null,
      "reported_languages": "en",
      "reported_license": "apache-2.0",
      "reported_license_link": null,
      "reported_license_name": null,
      "reported_training_datasets": "[\"bookcorpus\",\"wikipedia\"]",
      "source_url": "https://huggingface.co/google-bert/bert-base-uncased"
    },
    {
      "gated_access": false,
      "has_license_disclosure": true,
      "last_modified": "2026-01-28T10:02:26.000Z",
      "model_id": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
      "model_revision": "e8f8c211226b894fcb81acc59f3b34ba3efd5f42",
      "pipeline_tag": "sentence-similarity",
      "publisher_account": "sentence-transformers",
      "reported_base_models": null,
      "reported_languages": "[\"multilingual\",\"ar\",\"bg\",\"ca\",\"cs\",\"da\",\"de\",\"el\",\"en\",\"es\",\"et\",\"fa\",\"fi\",\"fr\",\"gl\",\"gu\",\"he\",\"hi\",\"hr\",\"hu\",\"hy\",\"id\",\"it\",\"ja\",\"ka\",\"ko\",\"ku\",\"lt\",\"lv\",\"mk\",\"mn\",\"mr\",\"ms\",\"my\",\"nb\",\"nl\",\"pl\",\"pt\",\"ro\",\"ru\",\"sk\",\"sl\",\"sq\",\"sr\",\"sv\",\"th\",\"tr\",\"uk\",\"ur\",\"vi\"]",
      "reported_license": "apache-2.0",
      "reported_license_link": null,
      "reported_license_name": null,
      "reported_training_datasets": null,
      "source_url": "https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2"
    },
    {
      "gated_access": false,
      "has_license_disclosure": true,
      "last_modified": "2024-07-03T14:50:10.000Z",
      "model_id": "BAAI/bge-m3",
      "model_revision": "5617a9f61b028005a4858fdac845db406aefb181",
      "pipeline_tag": "sentence-similarity",
      "publisher_account": "BAAI",
      "reported_base_models": null,
      "reported_languages": null,
      "reported_license": "mit",
      "reported_license_link": null,
      "reported_license_name": null,
      "reported_training_datasets": null,
      "source_url": "https://huggingface.co/BAAI/bge-m3"
    },
    {
      "gated_access": false,
      "has_license_disclosure": true,
      "last_modified": "2025-08-19T10:14:25.000Z",
      "model_id": "sentence-transformers/all-mpnet-base-v2",
      "model_revision": "e8c3b32edf5434bc2275fc9bab85f82640a19130",
      "pipeline_tag": "sentence-similarity",
      "publisher_account": "sentence-transformers",
      "reported_base_models": null,
      "reported_languages": "en",
      "reported_license": "apache-2.0",
      "reported_license_link": null,
      "reported_license_name": null,
      "reported_training_datasets": "[\"s2orc\",\"flax-sentence-embeddings/stackexchange_xml\",\"ms_marco\",\"gooaq\",\"yahoo_answers_topics\",\"code_search_net\",\"search_qa\",\"eli5\",\"snli\",\"multi_nli\",\"wikihow\",\"natural_questions\",\"trivia_qa\",\"embedding-data/sentence-compression\",\"embedding-data/flickr30k-captions\",\"embedding-data/altlex\",\"embedding-data/simple-wiki\",\"embedding-data/QQP\",\"embedding-data/SPECTER\",\"embedding-data/PAQ_pairs\",\"embedding-data/WikiAnswers\"]",
      "source_url": "https://huggingface.co/sentence-transformers/all-mpnet-base-v2"
    }
  ]
}
