Wheelodex » Projects » langmo

langmo

View on PyPI — Reverse Dependencies (0)

0.2.0 langmo-0.2.0-py3-none-any.whl

Wheel Details

Project: langmo
Version: 0.2.0
Filename: langmo-0.2.0-py3-none-any.whl
Download: [link]
Size: 76345
MD5: 15046d93bc43963ff3ad3295bb4f2241
SHA256: ab926f539b88dc3c0a0587a406154f494fb62b8a891c49e688719d2feaf69db4
Uploaded: 2023-08-17 01:38:51 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: langmo
Version: 0.2.0
Summary: toolbox for various tasks in the area of vector space models of computational linguistic
Home-Page: http://vecto.space
License: Apache License 2.0
Keywords: NLP,linguistics,language
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Text Processing :: Linguistic
Requires-Python: >=3.5
Requires-Dist: kapral (>=0.1.2)
Requires-Dist: vecto
Requires-Dist: pytorch-lightning
Requires-Dist: datasets
Requires-Dist: transformers
Requires-Dist: protonn
Requires-Dist: wandb
Requires-Dist: humanfriendly
Requires-Dist: lightning
Requires-Dist: langdetect
[Description omitted; length: 3398 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
langmo/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
langmo/_version.py sha256=qdc-OjM2NHd-LAETPOglLtkrhl80oHYwQToWKVks8e8 49
langmo/base.py sha256=tu8MoqjZFvUXMP_CSchI2gibTctGYwZiBAU34gbXn1w 6570
langmo/checkpoint.py sha256=H2zprHtbCyvCEDdCkY96mdubc72vIxrapwkJYIB7-z4 1667
langmo/data.py sha256=BnYoEbBCc7jXZ69UqeJ2fv6L5xaAVyHxpQXiaMVAdgk 459
langmo/evaluate.py sha256=z-uef_UU2gctVvLCOpFvyLqO3QN-8m2Vgpp_LhOmzYc 1788
langmo/generate.py sha256=S3vzJHx4tqeuFPiC_kJBlixa1YLYnjN-pAxTNHZSM-4 1598
langmo/log_helper.py sha256=fZqJ9cJZeF-5WpJFx7qhm6NpcYNJSsoJlFo9xWjsYx8 1789
langmo/logger_dummy.py sha256=-Cq5B9U5YgMI9acDoYubfIYX3BXqNdXrV0d_mvhyBCw 572
langmo/main.py sha256=EM-5XGjmup8RhYuU9XU1edbAdyBOEUpR-WRwpPYB3BE 7296
langmo/model.py sha256=7Ij7ggWJDT9v9wu2nHuonSeDcFna75v6ehmj_FTcuqQ 2211
langmo/report.py sha256=zc2k03ECoprqtYtgmekZcCdkkMkixbqGzISIHEe2hg8 2310
langmo/trainer.py sha256=CoSez_GSxr0H7r8mImF6-yrrHDtUmDloEp-taowAVcw 3162
langmo/benchmarks/__init__.py sha256=u8zylp_f27tF2rdWggiLCU6RlkDo8c-6cOhZ7qPLEiM 3632
langmo/benchmarks/__main__.py sha256=MzabGOr_-QKzbb3ggqhX2rNzP25uWLDztXXo9Zw3rbs 1314
langmo/benchmarks/visualize.py sha256=0EV1pjS57ECplQviQJdhqofPaBXjhq2xFxt7pgC77hA 7031
langmo/benchmarks/COPA/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
langmo/benchmarks/COPA/data.py sha256=gQ1MY4r6Ewiou0NNUdiZMP-qmVGWQtT9Dt0D6qw8dZ0 1049
langmo/benchmarks/COPA/main.py sha256=15R4JMf_lpf5M1uSaFJeh0oL2f992Lu1DctlCEvufFM 3714
langmo/benchmarks/COPA/model.py sha256=Y2puEEzCnPa7fPZkLNwoGnKn-VH0kv9gBXGtTMLlDIg 1121
langmo/benchmarks/FillMask/__init__.py sha256=jzgigUcUfc24QwEowLDlRH_VKe55wkwlu_ci72sIw48 1966
langmo/benchmarks/FillMask/__main__.py sha256=5BjNuyet8AY-POwoF5rGt722rHQ7tJ0Vf0UFUfzzi-I 58
langmo/benchmarks/NLI/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
langmo/benchmarks/NLI/__main__.py sha256=joKez6rANkAntJE7rM9_BXdRHhh22q3lm-U9Gl5FVxo 365
langmo/benchmarks/NLI/data.py sha256=xKjZXJT4Qn5Z3tSMK7dlGx-dHSdL3Npd3BaN0ZKfdwo 9237
langmo/benchmarks/NLI/model.py sha256=PRoK79gnXUjDyikQJcEC13bqFlOIMgF6s91HkJMWLlQ 5125
langmo/callbacks/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
langmo/callbacks/layernorm.py sha256=AGlK2jBQktP_ED9Sq0R7P4HCwlqpb73bdR3nAXJGcoQ 1825
langmo/callbacks/model_snapshots_schedule.py sha256=ds6QZygk25AY9Lb70WogchpGRnnP_iv3p5yDEJyjH18 1324
langmo/callbacks/monitor.py sha256=feSGNZfvBEjCXUVk9AdUTBmi53m0fmH0UNU7PpV6JY4 6904
langmo/config/__init__.py sha256=AlFnYjBZd0wIDW6BAy2pLqmK6UxAnH6bgHVhyWlXDyY 795
langmo/config/base.py sha256=Bpwd_B9AU-ZD04bWRoUtXJAp46Y45088LZBDKS1bfBo 7088
langmo/config/glue.py sha256=0psT3OXeZta_KEnnpj0knYcyDxGv_LI_BwARS2WeFIE 3114
langmo/config/pretrain.py sha256=j-DsF6oWQZqDsgRF7GrwVoJVWmryXeImUJUAF2Gnn0c 570
langmo/nn/__init__.py sha256=kMXSb-QRW2MgrmBMD3StD5spzBto35o-eNCj8TKnx8A 3352
langmo/nn/classifier.py sha256=5HCZbhCfYw_sU8ay8trWaXvnC7t3j8nhFuupoXNgwns 3060
langmo/nn/cnet.py sha256=xu13HTyJGyPFLJxANHDxgncPh6GEnrsaOJF6Vb7sJps 5673
langmo/nn/heads.py sha256=i1M8WfTrVhTTBDoj8Pv5IkgET4l6yVBk2glvvBHKJLc 541
langmo/nn/siamese.py sha256=HKZI3Z49cKg55SwVhXUpZQraa4ymcENZ8GCXpuLSbaA 2191
langmo/nn/utils.py sha256=ZH41sMZj_RaE9gmI0sF4SBPgQRtRCeU4VHs4ntFTNhU 315
langmo/nn/wrappers.py sha256=rkDv46ucuDwGRpR7B3AXczGg-ZT_k4YqO_YpMhpmwL8 2510
langmo/training/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
langmo/training/base.py sha256=GSaiZzNVOQ25Bk9Gx7tt7AscpOuj6fG_sY22Eko83tI 3524
langmo/training/base_data.py sha256=rARZCIUQipo68DTmOWMLqDsU0F0pYNByVH7HB0aCUtE 2259
langmo/training/glue/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
langmo/training/glue/__main__.py sha256=9qR5l-Rj_dNjF7X32YGZmwEIqvn-I5dnjCfGa0ySsHU 256
langmo/training/glue/data.py sha256=DEcTGBWnL4uQeX3yqL5J6x8IjIujYKlZTis8w3JLFeo 2900
langmo/training/glue/model.py sha256=MApDQrDQlWUYcKMJsZsBVYHCiqE_SF9tdg0mztvM0MA 5689
langmo/training/mlm/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
langmo/training/mlm/__main__.py sha256=MHXNnJTDOQnvveF1dFtcF6ca59ABfyJ-jjvA7a4LaOo 2878
langmo/training/mlm/data.py sha256=3PxsPwthNoU5vjAInzYoou1QfV4PQmm22VrPZspHeHw 13112
langmo/training/mlm/plmodel.py sha256=EZcV5jiEbqSWDL_Vu7XwrNnykHUnApSlasrClswl2jY 4778
langmo/training/mlm/resume.py sha256=FWIA7Ue0wKtxntuJj1DPSAX_u62uW3L_xk3rUBMlSRs 2305
langmo/training/multitask/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
langmo/training/multitask/__main__.py sha256=Hjqu0xcDVe735r7gC4mHiZBNkaJEFIL6n9M2zShW8dw 398
langmo/training/multitask/config.py sha256=IA_5OC2btszv7FlWl0ryR7cj-pLoBF-_r0DtnAdcoiQ 3393
langmo/training/multitask/data.py sha256=Tmu0RKDcrQkKz24g08kvt3_yAWS5NONoEs6m6KRmh5c 6421
langmo/training/multitask/model.py sha256=SipypTjfWWuHF5hm9ZlQR7b1gWdhU-43g6gRvCtwAXY 9514
langmo/training/qa/__init__.py sha256=6POvgvFLwxMMLzsprDKyZqTjsCi-M3ASphEshRCC_6U 55
langmo/training/qa/__main__.py sha256=yDQNrACi4-XlgS-0WTGoAMzZPaGoIv-Y6OWDewH4FAo 1390
langmo/training/qa/config.py sha256=-AvxNLzbTaEKItYCfgdND__RTjL6zxohlW5dEVrL94g 590
langmo/training/qa/data.py sha256=HQIn-WHlwye37vmo4ldOUvRcU9j9dDX18zJB6Z_lSfI 7809
langmo/training/qa/model.py sha256=Mv4yR9_DdwfX9YjS9dsMN3x3gOgKC_f7dOcThN6vdTo 9457
langmo/utils/__init__.py sha256=ius5CyItwhnn_e1tZm9m5BiE06ZmF9XcOwmal0Tdo3M 123
langmo/utils/copy_logs.py sha256=bQJfxaCHK06JJa_bO4bRgfO0xXbRZZUxhdkwXOjizCI 1191
langmo/utils/distributed.py sha256=srU3BpF8-_SOCAz0sbl2y_8cUZyhOFSI44tdKbsPj_Q 673
langmo/utils/dynamic_import_module.py sha256=zAALPkAh_eTF0gqoSVqMufFwUE3KSvIHgk3akq4rkOQ 1280
langmo/utils/json_reader.py sha256=i0HNj-w_bZpxZJsbekC1T_0nDMZz9KPWvpXTu4Dn5ic 2468
langmo/utils/model_utils.py sha256=U8aafpbmLal8hOPIkyJwSr-g3mBAv0SxrRRhoHwJF2k 243
langmo/utils/preprocess.py sha256=1W0FJiymQu1LC7aKcCq6QWdb_QfxsBpgBeFp_fdnw_E 3921
langmo/utils/resolve_callbacks.py sha256=QGX6H0On6JLAHsvfo44Vv_Xc7DoqBGGWq9DvQcEtoUE 1718
langmo/utils/shuffle.py sha256=QxNTmB_DY8pU747sP31YwcWDskQEw0lVWUA8vXP6Obg 775
langmo-0.2.0.dist-info/METADATA sha256=BhvlbiRd8sx4dE07LZJyMgty9L41p2ZUj0UNzD-ltw4 4473
langmo-0.2.0.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
langmo-0.2.0.dist-info/top_level.txt sha256=EmCr8lJwR3zmlX7YuZN313DSmXb-QiD5pvKJW5Ex_5k 7
langmo-0.2.0.dist-info/RECORD — —

top_level.txt

langmo