toynlp/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
toynlp/attention/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
toynlp/attention/config.py,sha256=9JamJApXgqYdaw_dN205m6e8e_N4r1l26spmFjKhflo,2665
toynlp/attention/dataset.py,sha256=dQBEG2XxyVGitXaoqqzYyC2FVCnZhhzUndiWbaCGoNE,2859
toynlp/attention/evaluation.py,sha256=j8D-tTXQfuYrHvu8TTv4KENDCcl4CI1oZ7mKyZDzKfQ,11019
toynlp/attention/inference.py,sha256=V8WKePWwto8PMloTaTCuRth7CEiss9DkIiRw7RNHp8M,8869
toynlp/attention/model.py,sha256=HlUhWSzhnujmlWpJEjXlMpunGa9sArM0nuJi2IOS2Ug,10008
toynlp/attention/tokenizer.py,sha256=l5G2FAzIm__KOnmyBkIOAgQ2f4CCNd60nv9HRx0S57I,5185
toynlp/attention/train.py,sha256=D12zxOuDHq7prZfu0A702gn5Go38phgLKSdIuo8p4pU,7427
toynlp/bert/README.md,sha256=YwT5iy_0TFlWuSnh1Jnpb-_f27D9n4G_z5_QtvtjDmE,16968
toynlp/bert/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
toynlp/bert/config.py,sha256=h-X5vqJR70EaUc3vnrgn1cOUDTVNfm-vxE4dYq-1UgI,2805
toynlp/bert/dataset.py,sha256=1SezvMFOfFjnIMjC_gnyHBcrPzG8QGNAFaueAbWcGns,19803
toynlp/bert/evaluation.py,sha256=slG3-2iI9_wv3KXgDswBs4tU2sopOxN-R5rjmIODzEA,12819
toynlp/bert/model.py,sha256=JfqNlh-M74wwgoXFSuhnLgakSy-OkIhuPCY09SDqaPM,9600
toynlp/bert/tokenizer.py,sha256=p89UA6qtT3mctNtjdLIFOjxJpCwx_JUD9szVHIfTGCg,4405
toynlp/bert/train.py,sha256=G47nad5iyFuY15HQbAgi5D9oJZcskAZeykGdfgGqMHc,13847
toynlp/fasttext/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
toynlp/fasttext/config.py,sha256=DZO65Mq94rUG3SoRd9pBPlCELUj951tHgBPsU3nsFlw,1650
toynlp/fasttext/dataset.py,sha256=enxAOh44ae_h6vVKXnzBpY8O3AdjlByu4wDwdQgYtyI,2290
toynlp/fasttext/evaluation.py,sha256=uR5OxlIwms5y_xYIm3ahNlmDp35k0DOdOxKdNS_aSLQ,10087
toynlp/fasttext/inference.py,sha256=SxiyhpsjvmruhBVqSA_f6AncAGEk-pxpXs3QgLvsgs8,6731
toynlp/fasttext/model.py,sha256=KZL3n6YCjGeJPlIPLyk-zPfbgzoNxjtl0MDtsoOITME,1118
toynlp/fasttext/tokenizer.py,sha256=5wrUe1tLewX_cVbjq2fJqadHsgtKWUR4Au7d4aLI1Gs,3420
toynlp/fasttext/train.py,sha256=poGQDZXpHgzl7s-s8w7xfqC3-din5rQoPLr6mXqrK3E,6386
toynlp/gpt/README.md,sha256=H6wdRH7OwGuCgzcO4KJ1_ksGRYpg54ndk4bqBYxhHq4,4769
toynlp/gpt/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
toynlp/gpt/config.py,sha256=qU_RJYa2VntqsjiMD6cGOIWPSKt7fDn6syxH8b8v4FU,2635
toynlp/gpt/dataset.py,sha256=ScqPGN9JFLP3Rqy30ilE6ejiOHYMya18Aj28PX4qKN8,2521
toynlp/gpt/evaluation.py,sha256=KrrA6hvaLMjKQRwPKOCsWrYmeaR1DRhs5kRIeypB7aU,13142
toynlp/gpt/inference.py,sha256=vH9lKz1rUeQSX0Mb-Nx5gr5kNQVTcdChoMeuEKlBBe8,3454
toynlp/gpt/model.py,sha256=Sx21rwWGxLTe7o83xL764zmAla5H-QICMABkbf4Ike8,7326
toynlp/gpt/tokenizer.py,sha256=gGLC-5T3XJXPi7t14M-2dA7ut9dxWqEcZPwYQIej4qI,4189
toynlp/gpt/train.py,sha256=HFKIVUviAPGLmACS-RVX-8gNDSvb65CNC-JyAfcoM0c,9975
toynlp/nnlm/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
toynlp/nnlm/config.py,sha256=61GvhauWanMQhBHuFzwpc3K9fdju4UVxle0jWyniV6g,2581
toynlp/nnlm/inference.py,sha256=CC30_EOK4XORI12fRj9O795AWs0qayE3pDUOX-f4cMc,806
toynlp/nnlm/model.py,sha256=SFU8RAUrekh1fOmBoOXs3NYKf37iAMldsnG3GELcNT8,2976
toynlp/nnlm/tokenizer.py,sha256=mSTsIPZdMYbMv-i--c1ki97k1dGT6ME3LkJkgQyrqSA,1693
toynlp/nnlm/train.py,sha256=11p0zOA42aAWzGNA0askzIbAUsgfI5ZxZoS7vfQSPDw,6346
toynlp/paths.py,sha256=OSLopQSB4Szdh44lI2ZZ5SBXQTDe_hrpRDmPg7-PwE8,1581
toynlp/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
toynlp/seq2seq/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
toynlp/seq2seq/config.py,sha256=IDr9i3yIahAIi1YkWUDKJ_tiWp4LYappXLYSZCIsivA,2980
toynlp/seq2seq/dataset.py,sha256=jC7POCFNQ4r4B2BSKH4k-nwiB9cNalBVMcluxczRF8s,2881
toynlp/seq2seq/evaluation.py,sha256=6eLysmpHjwp8IzMXRRvnW0vXw-DV1q6_g_gRDIx8FlA,10846
toynlp/seq2seq/inference.py,sha256=CibcN2AOGyEBQCDWJ32mFZ3of1G56yd3ShE0WWAk56k,6706
toynlp/seq2seq/model.py,sha256=MW_5j8Yck1j3WfNvjmzGSF2Ev2H0CeS1RxWvUxAXnuk,5957
toynlp/seq2seq/tokenizer.py,sha256=YmFIl4xIqTW-rpoOkir2TeMWSjtrpqaqgRbhiDLmmx4,5232
toynlp/seq2seq/train.py,sha256=tYv-78QC8Ex_D35u6aI_OIuYBCDziTy7Jvlos0vHJ4s,7465
toynlp/transformer/README.md,sha256=ryzRUIXmR5iYkNI7URwo6bLVfdNMpTpEU3Zxdf6m814,982
toynlp/transformer/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
toynlp/transformer/config.py,sha256=JlC81sjUSJ3pG-KBnBNiQUgjgNly8AWdbHfuqwsbu8M,2610
toynlp/transformer/dataset.py,sha256=Wo2-esHVjPaB3gI-hcnfTeJDQJhkjLU5RTdy5hBoddA,2599
toynlp/transformer/evaluation.py,sha256=AXrycwcwT39914XqF-WjoL7DoE-TK5WER8FDHhzlbv8,8240
toynlp/transformer/inference.py,sha256=lxK8T3pE4_Pk-S8MP4oqBwgoUelQWL3pFe2aaABkgq0,6148
toynlp/transformer/model.py,sha256=dcdTfJLUsaoud444muV5LuUkWzdyx6fihNKvwE2Gp_M,11486
toynlp/transformer/tokenizer.py,sha256=mE5-TI8D8kQ_W4rkkVhk4cb1hubmjkZSakJ5_R3T-YE,4754
toynlp/transformer/train.py,sha256=LjEV4u0J7BdYOANzmeq3MWXCwIQO9B42r-rvchyOy78,6693
toynlp/util.py,sha256=a79sy6f_ARBBi5d5j8EfEUE5MuHc7V3tjdZ97Su7d1Q,863
toynlp/word2vec/README.md,sha256=xWWYYYsOWHDtAYuV1Ysa7NVi_Xl1cDrODq02M2Fh7HU,831
toynlp/word2vec/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
toynlp/word2vec/config.py,sha256=09lUS0ITGtHfVUvcXZzH61g2lSLwxrykaUEkzUdZb_0,2015
toynlp/word2vec/dataset.py,sha256=BrZNZ0f4pkAQtxHnras0AjxBmd3KARd4kpv61GkSrwI,3677
toynlp/word2vec/hub.py,sha256=AahE27vbyM_F7s4Mp0RJ_BXEf9KLGJD0LNcQOEoV2QA,1036
toynlp/word2vec/inference.py,sha256=Hqk9VSMRRCfQXAc6KLwgHu_CzwJAvXOpGpURswXPVAM,5420
toynlp/word2vec/model.py,sha256=1EXckokVIW0dLOeMJP4D1AnaDMx_RzDXr8lwmoQQQFg,2284
toynlp/word2vec/tokenizer.py,sha256=WJtPvj2ElV8bhabzlHxC8-o5NiPJCin6YiszflaORfA,1888
toynlp/word2vec/train.py,sha256=7T1CnvTk7NsX6NDoKv6uUKmd4I9rK5MT49IxNi38KbI,7388
toynlp-0.3.0.dist-info/WHEEL,sha256=w4ZtLaDgMAZW2MMZZwtH8zENekoQYBCeullI-zsXJQk,78
toynlp-0.3.0.dist-info/METADATA,sha256=wkk_GdNFyAFe0GMc-Tu-yg3MP4KMW9hgq_lBkthVUkk,6384
toynlp-0.3.0.dist-info/RECORD,,
