{
  "info": {
    "subdir": "linux-64"
  },
  "packages": {
    "transformers-5.3.0-py310h2c31af9_1.tar.bz2": {
      "build": "py310h2c31af9_1",
      "build_number": 1,
      "constrains": [
        "codecarbon >=2.8.1",
        "pytorch >=2.4",
        "jinja2 >=3.1.0",
        "sagemaker >=2.31.0",
        "ray >=2.7.0",
        "kernels >=0.10.2,<0.11",
        "ipadic >=1.0.0,<2.0",
        "unidic_lite >=1.0.7",
        "rhoknp >=1.1.0,<1.3.1",
        "timm >=1.0.23",
        "optimum-benchmark >=0.3.0",
        "sudachipy >=0.6.6",
        "pillow >=10.0.1,<=15.0",
        "mistral-common >=1.8.8",
        "datasets >=2.15.0",
        "jmespath >=1.0.1",
        "openai >=1.98.0",
        "fugashi >=1.0",
        "pyctcdecode >=0.4.0",
        "unidic >=1.0.2",
        "deepspeed >=0.9.3",
        "accelerate >=1.1.0",
        "sentencepiece >=0.1.91,!=0.1.92",
        "sudachidict_core >=20220729",
        "pydantic >=2"
      ],
      "depends": [
        "huggingface_hub >=1.3.0,<2.0",
        "numpy >=1.17",
        "packaging >=20.0",
        "python >=3.10,<3.11.0a0",
        "pyyaml >=5.1",
        "regex !=2019.12.17",
        "safetensors >=0.4.3",
        "tokenizers >=0.22.0,<=0.23.0",
        "tqdm >=4.27",
        "typer"
      ],
      "license": "Apache-2.0",
      "license_family": "Apache",
      "md5": "1982ebef6e6aaed76fb5f3bbd1c91137",
      "name": "transformers",
      "sha256": "2889e6a993ca70bdf3a32e34cecd8e47ff36ca5f60a4e219d60f8d4c27e1b9e0",
      "size": 36800437,
      "subdir": "linux-64",
      "timestamp": 1775586804650,
      "version": "5.3.0"
    },
    "transformers-5.3.0-py311h2c31af9_1.tar.bz2": {
      "build": "py311h2c31af9_1",
      "build_number": 1,
      "constrains": [
        "accelerate >=1.1.0",
        "ray >=2.7.0",
        "sudachidict_core >=20220729",
        "sudachipy >=0.6.6",
        "pillow >=10.0.1,<=15.0",
        "optimum-benchmark >=0.3.0",
        "ipadic >=1.0.0,<2.0",
        "kernels >=0.10.2,<0.11",
        "pytorch >=2.4",
        "datasets >=2.15.0",
        "fugashi >=1.0",
        "mistral-common >=1.8.8",
        "unidic >=1.0.2",
        "rhoknp >=1.1.0,<1.3.1",
        "openai >=1.98.0",
        "deepspeed >=0.9.3",
        "codecarbon >=2.8.1",
        "jinja2 >=3.1.0",
        "sentencepiece >=0.1.91,!=0.1.92",
        "jmespath >=1.0.1",
        "pyctcdecode >=0.4.0",
        "sagemaker >=2.31.0",
        "timm >=1.0.23",
        "pydantic >=2",
        "unidic_lite >=1.0.7"
      ],
      "depends": [
        "huggingface_hub >=1.3.0,<2.0",
        "numpy >=1.17",
        "packaging >=20.0",
        "python >=3.11,<3.12.0a0",
        "pyyaml >=5.1",
        "regex !=2019.12.17",
        "safetensors >=0.4.3",
        "tokenizers >=0.22.0,<=0.23.0",
        "tqdm >=4.27",
        "typer"
      ],
      "license": "Apache-2.0",
      "license_family": "Apache",
      "md5": "8d66301ed3df541be497431d52f084d4",
      "name": "transformers",
      "sha256": "7bc92fc60b5572d1188c3325b0ce2f8ff4397f56a409d1cda5268616773fa338",
      "size": 42086569,
      "subdir": "linux-64",
      "timestamp": 1775586944274,
      "version": "5.3.0"
    },
    "transformers-5.3.0-py312h2c31af9_1.tar.bz2": {
      "build": "py312h2c31af9_1",
      "build_number": 1,
      "constrains": [
        "jinja2 >=3.1.0",
        "sudachidict_core >=20220729",
        "pillow >=10.0.1,<=15.0",
        "optimum-benchmark >=0.3.0",
        "kernels >=0.10.2,<0.11",
        "datasets >=2.15.0",
        "deepspeed >=0.9.3",
        "ipadic >=1.0.0,<2.0",
        "ray >=2.7.0",
        "fugashi >=1.0",
        "jmespath >=1.0.1",
        "unidic >=1.0.2",
        "mistral-common >=1.8.8",
        "pyctcdecode >=0.4.0",
        "timm >=1.0.23",
        "codecarbon >=2.8.1",
        "pydantic >=2",
        "accelerate >=1.1.0",
        "pytorch >=2.4",
        "rhoknp >=1.1.0,<1.3.1",
        "openai >=1.98.0",
        "sentencepiece >=0.1.91,!=0.1.92",
        "unidic_lite >=1.0.7",
        "sagemaker >=2.31.0",
        "sudachipy >=0.6.6"
      ],
      "depends": [
        "huggingface_hub >=1.3.0,<2.0",
        "numpy >=1.17",
        "packaging >=20.0",
        "python >=3.12,<3.13.0a0",
        "pyyaml >=5.1",
        "regex !=2019.12.17",
        "safetensors >=0.4.3",
        "tokenizers >=0.22.0,<=0.23.0",
        "tqdm >=4.27",
        "typer"
      ],
      "license": "Apache-2.0",
      "license_family": "Apache",
      "md5": "7f4dc57865dbfd928cc55a69030ee475",
      "name": "transformers",
      "sha256": "05b3692ce76fe03a3c901f6ae2b9ae03abe7b70a84b0fdc213a57f64b0c5e007",
      "size": 41245125,
      "subdir": "linux-64",
      "timestamp": 1775586936053,
      "version": "5.3.0"
    },
    "transformers-5.3.0-py313h2c31af9_1.tar.bz2": {
      "build": "py313h2c31af9_1",
      "build_number": 1,
      "constrains": [
        "pytorch >=2.4",
        "sentencepiece >=0.1.91,!=0.1.92",
        "fugashi >=1.0",
        "pyctcdecode >=0.4.0",
        "sudachidict_core >=20220729",
        "deepspeed >=0.9.3",
        "accelerate >=1.1.0",
        "sagemaker >=2.31.0",
        "pillow >=10.0.1,<=15.0",
        "pydantic >=2",
        "ipadic >=1.0.0,<2.0",
        "jinja2 >=3.1.0",
        "openai >=1.98.0",
        "datasets >=2.15.0",
        "optimum-benchmark >=0.3.0",
        "rhoknp >=1.1.0,<1.3.1",
        "kernels >=0.10.2,<0.11",
        "timm >=1.0.23",
        "unidic >=1.0.2",
        "ray >=2.7.0",
        "codecarbon >=2.8.1",
        "jmespath >=1.0.1",
        "mistral-common >=1.8.8",
        "unidic_lite >=1.0.7",
        "sudachipy >=0.6.6"
      ],
      "depends": [
        "huggingface_hub >=1.3.0,<2.0",
        "numpy >=1.17",
        "packaging >=20.0",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "pyyaml >=5.1",
        "regex !=2019.12.17",
        "safetensors >=0.4.3",
        "tokenizers >=0.22.0,<=0.23.0",
        "tqdm >=4.27",
        "typer"
      ],
      "license": "Apache-2.0",
      "license_family": "Apache",
      "md5": "0f6923bf06c8d9b6adfee78129003e09",
      "name": "transformers",
      "sha256": "ec7242396e13fba22043f3eac3b429236002db11237ff7c71221540175a1c9d1",
      "size": 41555797,
      "subdir": "linux-64",
      "timestamp": 1775586952876,
      "version": "5.3.0"
    },
    "transformers-5.3.0-py314h2c31af9_1.tar.bz2": {
      "build": "py314h2c31af9_1",
      "build_number": 1,
      "constrains": [
        "optimum-benchmark >=0.3.0",
        "pydantic >=2",
        "ipadic >=1.0.0,<2.0",
        "jmespath >=1.0.1",
        "timm >=1.0.23",
        "datasets >=2.15.0",
        "unidic >=1.0.2",
        "pytorch >=2.4",
        "fugashi >=1.0",
        "pyctcdecode >=0.4.0",
        "kernels >=0.10.2,<0.11",
        "sagemaker >=2.31.0",
        "deepspeed >=0.9.3",
        "codecarbon >=2.8.1",
        "sudachidict_core >=20220729",
        "unidic_lite >=1.0.7",
        "sentencepiece >=0.1.91,!=0.1.92",
        "jinja2 >=3.1.0",
        "openai >=1.98.0",
        "ray >=2.7.0",
        "pillow >=10.0.1,<=15.0",
        "accelerate >=1.1.0",
        "sudachipy >=0.6.6",
        "rhoknp >=1.1.0,<1.3.1"
      ],
      "depends": [
        "huggingface_hub >=1.3.0,<2.0",
        "numpy >=1.17",
        "packaging >=20.0",
        "python >=3.14,<3.15.0a0",
        "python_abi 3.14.* *_cp314",
        "pyyaml >=5.1",
        "regex !=2019.12.17",
        "safetensors >=0.4.3",
        "tokenizers >=0.22.0,<=0.23.0",
        "tqdm >=4.27",
        "typer"
      ],
      "license": "Apache-2.0",
      "license_family": "Apache",
      "md5": "58c311d23aec42cf87fa4afe6d3a2e72",
      "name": "transformers",
      "sha256": "b0484ddf2711b3dcc93d8c1789c860488eadf26fcc1b857c2d828ce415fc132f",
      "size": 42175327,
      "subdir": "linux-64",
      "timestamp": 1775586803482,
      "version": "5.3.0"
    }
  },
  "packages.conda": {
    "transformers-5.3.0-py310h2c31af9_1.conda": {
      "build": "py310h2c31af9_1",
      "build_number": 1,
      "constrains": [
        "codecarbon >=2.8.1",
        "pytorch >=2.4",
        "jinja2 >=3.1.0",
        "sagemaker >=2.31.0",
        "ray >=2.7.0",
        "kernels >=0.10.2,<0.11",
        "ipadic >=1.0.0,<2.0",
        "unidic_lite >=1.0.7",
        "rhoknp >=1.1.0,<1.3.1",
        "timm >=1.0.23",
        "optimum-benchmark >=0.3.0",
        "sudachipy >=0.6.6",
        "pillow >=10.0.1,<=15.0",
        "mistral-common >=1.8.8",
        "datasets >=2.15.0",
        "jmespath >=1.0.1",
        "openai >=1.98.0",
        "fugashi >=1.0",
        "pyctcdecode >=0.4.0",
        "unidic >=1.0.2",
        "deepspeed >=0.9.3",
        "accelerate >=1.1.0",
        "sentencepiece >=0.1.91,!=0.1.92",
        "sudachidict_core >=20220729",
        "pydantic >=2"
      ],
      "depends": [
        "huggingface_hub >=1.3.0,<2.0",
        "numpy >=1.17",
        "packaging >=20.0",
        "python >=3.10,<3.11.0a0",
        "pyyaml >=5.1",
        "regex !=2019.12.17",
        "safetensors >=0.4.3",
        "tokenizers >=0.22.0,<=0.23.0",
        "tqdm >=4.27",
        "typer"
      ],
      "license": "Apache-2.0",
      "license_family": "Apache",
      "md5": "8e0c51f020c259379584668573138c19",
      "name": "transformers",
      "sha256": "e60ee4537c1592f2e4bc7f513b4a659acfa2a9631e82a8711ce344940ae3c6c3",
      "size": 25034846,
      "subdir": "linux-64",
      "timestamp": 1775586804650,
      "version": "5.3.0"
    },
    "transformers-5.3.0-py311h2c31af9_1.conda": {
      "build": "py311h2c31af9_1",
      "build_number": 1,
      "constrains": [
        "accelerate >=1.1.0",
        "ray >=2.7.0",
        "sudachidict_core >=20220729",
        "sudachipy >=0.6.6",
        "pillow >=10.0.1,<=15.0",
        "optimum-benchmark >=0.3.0",
        "ipadic >=1.0.0,<2.0",
        "kernels >=0.10.2,<0.11",
        "pytorch >=2.4",
        "datasets >=2.15.0",
        "fugashi >=1.0",
        "mistral-common >=1.8.8",
        "unidic >=1.0.2",
        "rhoknp >=1.1.0,<1.3.1",
        "openai >=1.98.0",
        "deepspeed >=0.9.3",
        "codecarbon >=2.8.1",
        "jinja2 >=3.1.0",
        "sentencepiece >=0.1.91,!=0.1.92",
        "jmespath >=1.0.1",
        "pyctcdecode >=0.4.0",
        "sagemaker >=2.31.0",
        "timm >=1.0.23",
        "pydantic >=2",
        "unidic_lite >=1.0.7"
      ],
      "depends": [
        "huggingface_hub >=1.3.0,<2.0",
        "numpy >=1.17",
        "packaging >=20.0",
        "python >=3.11,<3.12.0a0",
        "pyyaml >=5.1",
        "regex !=2019.12.17",
        "safetensors >=0.4.3",
        "tokenizers >=0.22.0,<=0.23.0",
        "tqdm >=4.27",
        "typer"
      ],
      "license": "Apache-2.0",
      "license_family": "Apache",
      "md5": "36404d74d495386bc865f6b57ce55772",
      "name": "transformers",
      "sha256": "ad08cac3e3d31ff62b27a69b4bdc30b77137c98553a739e54d212e09f3799b96",
      "size": 28610464,
      "subdir": "linux-64",
      "timestamp": 1775586944274,
      "version": "5.3.0"
    },
    "transformers-5.3.0-py312h2c31af9_1.conda": {
      "build": "py312h2c31af9_1",
      "build_number": 1,
      "constrains": [
        "jinja2 >=3.1.0",
        "sudachidict_core >=20220729",
        "pillow >=10.0.1,<=15.0",
        "optimum-benchmark >=0.3.0",
        "kernels >=0.10.2,<0.11",
        "datasets >=2.15.0",
        "deepspeed >=0.9.3",
        "ipadic >=1.0.0,<2.0",
        "ray >=2.7.0",
        "fugashi >=1.0",
        "jmespath >=1.0.1",
        "unidic >=1.0.2",
        "mistral-common >=1.8.8",
        "pyctcdecode >=0.4.0",
        "timm >=1.0.23",
        "codecarbon >=2.8.1",
        "pydantic >=2",
        "accelerate >=1.1.0",
        "pytorch >=2.4",
        "rhoknp >=1.1.0,<1.3.1",
        "openai >=1.98.0",
        "sentencepiece >=0.1.91,!=0.1.92",
        "unidic_lite >=1.0.7",
        "sagemaker >=2.31.0",
        "sudachipy >=0.6.6"
      ],
      "depends": [
        "huggingface_hub >=1.3.0,<2.0",
        "numpy >=1.17",
        "packaging >=20.0",
        "python >=3.12,<3.13.0a0",
        "pyyaml >=5.1",
        "regex !=2019.12.17",
        "safetensors >=0.4.3",
        "tokenizers >=0.22.0,<=0.23.0",
        "tqdm >=4.27",
        "typer"
      ],
      "license": "Apache-2.0",
      "license_family": "Apache",
      "md5": "23295a6fb8008bd39a017be9f7b97218",
      "name": "transformers",
      "sha256": "ed86eedcd1a13ebd5b9fa18a814ba761c1248dfd2caeecae79778137726b7849",
      "size": 28276505,
      "subdir": "linux-64",
      "timestamp": 1775586936053,
      "version": "5.3.0"
    },
    "transformers-5.3.0-py313h2c31af9_1.conda": {
      "build": "py313h2c31af9_1",
      "build_number": 1,
      "constrains": [
        "pytorch >=2.4",
        "sentencepiece >=0.1.91,!=0.1.92",
        "fugashi >=1.0",
        "pyctcdecode >=0.4.0",
        "sudachidict_core >=20220729",
        "deepspeed >=0.9.3",
        "accelerate >=1.1.0",
        "sagemaker >=2.31.0",
        "pillow >=10.0.1,<=15.0",
        "pydantic >=2",
        "ipadic >=1.0.0,<2.0",
        "jinja2 >=3.1.0",
        "openai >=1.98.0",
        "datasets >=2.15.0",
        "optimum-benchmark >=0.3.0",
        "rhoknp >=1.1.0,<1.3.1",
        "kernels >=0.10.2,<0.11",
        "timm >=1.0.23",
        "unidic >=1.0.2",
        "ray >=2.7.0",
        "codecarbon >=2.8.1",
        "jmespath >=1.0.1",
        "mistral-common >=1.8.8",
        "unidic_lite >=1.0.7",
        "sudachipy >=0.6.6"
      ],
      "depends": [
        "huggingface_hub >=1.3.0,<2.0",
        "numpy >=1.17",
        "packaging >=20.0",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "pyyaml >=5.1",
        "regex !=2019.12.17",
        "safetensors >=0.4.3",
        "tokenizers >=0.22.0,<=0.23.0",
        "tqdm >=4.27",
        "typer"
      ],
      "license": "Apache-2.0",
      "license_family": "Apache",
      "md5": "418f89e9b39f996103f680000313be65",
      "name": "transformers",
      "sha256": "2bb505824c10ce06f3eee8780b62a45479f8918890519011d149f56fbae8846b",
      "size": 28457512,
      "subdir": "linux-64",
      "timestamp": 1775586952876,
      "version": "5.3.0"
    },
    "transformers-5.3.0-py314h2c31af9_1.conda": {
      "build": "py314h2c31af9_1",
      "build_number": 1,
      "constrains": [
        "optimum-benchmark >=0.3.0",
        "pydantic >=2",
        "ipadic >=1.0.0,<2.0",
        "jmespath >=1.0.1",
        "timm >=1.0.23",
        "datasets >=2.15.0",
        "unidic >=1.0.2",
        "pytorch >=2.4",
        "fugashi >=1.0",
        "pyctcdecode >=0.4.0",
        "kernels >=0.10.2,<0.11",
        "sagemaker >=2.31.0",
        "deepspeed >=0.9.3",
        "codecarbon >=2.8.1",
        "sudachidict_core >=20220729",
        "unidic_lite >=1.0.7",
        "sentencepiece >=0.1.91,!=0.1.92",
        "jinja2 >=3.1.0",
        "openai >=1.98.0",
        "ray >=2.7.0",
        "pillow >=10.0.1,<=15.0",
        "accelerate >=1.1.0",
        "sudachipy >=0.6.6",
        "rhoknp >=1.1.0,<1.3.1"
      ],
      "depends": [
        "huggingface_hub >=1.3.0,<2.0",
        "numpy >=1.17",
        "packaging >=20.0",
        "python >=3.14,<3.15.0a0",
        "python_abi 3.14.* *_cp314",
        "pyyaml >=5.1",
        "regex !=2019.12.17",
        "safetensors >=0.4.3",
        "tokenizers >=0.22.0,<=0.23.0",
        "tqdm >=4.27",
        "typer"
      ],
      "license": "Apache-2.0",
      "license_family": "Apache",
      "md5": "f389035acb7b77667acf895a91268f91",
      "name": "transformers",
      "sha256": "09be51de8d971586f2b4160a159fdb49b3fec0179b2ef90e16ed3ecbddecf653",
      "size": 28902432,
      "subdir": "linux-64",
      "timestamp": 1775586803482,
      "version": "5.3.0"
    }
  },
  "removed": [],
  "repodata_version": 1
}