Senta-master.zip资源-CSDN文库

共135个文件

py：89个

json：23个

sh：11个

人工智能

112 浏览量 2023-03-08 11:37:35 上传评论收藏 1.1MB ZIP 举报

资源推荐

资源详情

资源评论

收起资源包目录

Senta-master.zip （135个子文件）

AUTHORS 308B

tokenization_wp.py.bak 16KB

ernie_one_sent_classification_en.py.bak 15KB

ernie_onesentclassification_dataset_reader_en.py.bak 5KB

ernie_one_sent_classification_ch.py.bak 2KB

roberta_en.vocab.bpe 446KB

setup.cfg 26B

roberta_en.encoder.json 1018KB

infer.json 11KB

roberta_skep_large_en.absa_laptops.cls.json 8KB

ernie_2.0_skep_large_en.absa_laptops.cls.json 7KB

roberta_skep_large_en.SST-2.cls.json 7KB

ernie_1.0_skep_large_ch.SE-ABSA16_PHNS.cls.json 7KB

ernie_1.0_skep_large_ch.Chnsenticorp.cls.json 7KB

ernie_2.0_skep_large_en.MPQA.orl.json 6KB

roberta_skep_large_en.MPQA.orl.json 6KB

ernie_2.0_skep_large_en.SST-2.cls.json 6KB

ernie_1.0_skep_large_ch.COTE_BD.oe.json 5KB

roberta_skep_large_en.absa_laptops.infer.json 4KB

ernie_2.0_skep_large_en.absa_laptops.infer.json 3KB

ernie_1.0_skep_large_ch.SE-ABSA16_PHNS.infer.json 3KB

roberta_skep_large_en.SST-2.infer.json 2KB

ernie_1.0_skep_large_ch.COTE_BD.infer.json 2KB

ernie_2.0_skep_large_en.MPQA.infer.json 2KB

roberta_skep_large_en.MPQA.infer.json 2KB

ernie_1.0_skep_large_ch.Chnsenticorp.infer.json 2KB

ernie_2.0_skep_large_en.SST-2.infer.json 2KB

roberta_large_en.config.json 403B

ernie_1.0_large_ch.config.json 352B

ernie_2.0_large_en.config.json 330B

LICENSE 11KB

ernie_skep_pretrain_dataset_reader.py 35KB

ernie_pretrain_dataset_reader.py 34KB

base_trainer.py 33KB

ernie_two_sent_classification_en.py 28KB

roberta_skep_pretrain_dataset_reader_en.py 20KB

roberta_pretrain_dataset_reader_en.py 20KB

pretraining.py 18KB

tokenization_wp.py 17KB

multi_process_eval.py 17KB

transformer_encoder.py 17KB

tokenization_utils.py 15KB

roberta_one_sent_classification_en.py 15KB

ernie_one_sent_classification_ch.py 15KB

ernie_one_sent_classification_en.py 15KB

ernie.py 14KB

basic_dataset_reader_without_fields.py 13KB

ernie_crf_sequence_label.py 12KB

metrics.py 12KB

glue_task_trainer.py 11KB

train.py 11KB

ernie_two_sent_classification_ch.py 10KB

util_helper.py 10KB

tokenization_spm.py 9KB

roberta_twosentclassification_dataset_reader_en.py 9KB

ernie_classification.py 9KB

ernie_twosentclassification_dataset_reader_en.py 9KB

roberta_classification.py 9KB

ernie_classification_field_reader.py 8KB

bert.py 8KB

ernie_text_field_reader.py 8KB

sklearn_metrics.py 7KB

custom_trainer.py 7KB

util_helper.py 7KB

generate_label_field_reader.py 7KB

basic_dataset_reader.py 7KB

glue_eval.py 6KB

ernie_seqlabel_label_field_reader.py 6KB

ernie_twosentclassification_dataset_reader_ch.py 6KB

elmo.py 5KB

custom_text_field_reader.py 5KB

ernie_onesentclassification_dataset_reader_ch.py 5KB

ernie_onesentclassification_dataset_reader_en.py 5KB

lanch.py 5KB

inference.py 4KB

text_field_reader.py 4KB

scalar_array_field_reader.py 4KB

ernie_skep_multil_task_language_model.py 4KB

ernie_language_model.py 4KB

base_dataset_reader.py 4KB

data_set.py 4KB

ernie_multil_task_language_model.py 3KB

roberta_skep_language_model.py 3KB

scalar_field_reader.py 3KB

train.py 3KB

text_embedder.py 3KB

roberta_language_model.py 3KB

init.py 3KB

rule.py 3KB

args.py 2KB

vocabulary.py 2KB

log.py 2KB

params.py 2KB

setup.py 2KB

infer.py 2KB

base_field_reader.py 2KB

field.py 2KB

ernie_embedding.py 2KB

tokenizer.py 2KB

共 135 条

[PAD] 0 [unused0] 1 [unused1] 2 [unused2] 3 [unused3] 4 [unused4] 5 [unused5] 6 [unused6] 7 [unused7] 8 [unused8] 9 [unused9] 10 [unused10] 11 [unused11] 12 [unused12] 13 [unused13] 14 [unused14] 15 [unused15] 16 [unused16] 17 [unused17] 18 [unused18] 19 [unused19] 20 [unused20] 21 [unused21] 22 [unused22] 23 [unused23] 24 [unused24] 25 [unused25] 26 [unused26] 27 [unused27] 28 [unused28] 29 [unused29] 30 [unused30] 31 [unused31] 32 [unused32] 33 [unused33] 34 [unused34] 35 [unused35] 36 [unused36] 37 [unused37] 38 [unused38] 39 [unused39] 40 [unused40] 41 [unused41] 42 [unused42] 43 [unused43] 44 [unused44] 45 [unused45] 46 [unused46] 47 [unused47] 48 [unused48] 49 [unused49] 50 [unused50] 51 [unused51] 52 [unused52] 53 [unused53] 54 [unused54] 55 [unused55] 56 [unused56] 57 [unused57] 58 [unused58] 59 [unused59] 60 [unused60] 61 [unused61] 62 [unused62] 63 [unused63] 64 [unused64] 65 [unused65] 66 [unused66] 67 [unused67] 68 [unused68] 69 [unused69] 70 [unused70] 71 [unused71] 72 [unused72] 73 [unused73] 74 [unused74] 75 [unused75] 76 [unused76] 77 [unused77] 78 [unused78] 79 [unused79] 80 [unused80] 81 [unused81] 82 [unused82] 83 [unused83] 84 [unused84] 85 [unused85] 86 [unused86] 87 [unused87] 88 [unused88] 89 [unused89] 90 [unused90] 91 [unused91] 92 [unused92] 93 [unused93] 94 [unused94] 95 [unused95] 96 [unused96] 97 [unused97] 98 [unused98] 99 [UNK] 100 [CLS] 101 [SEP] 102 [MASK] 103 [unused99] 104 [unused100] 105 [unused101] 106 [unused102] 107 [unused103] 108 [unused104] 109 [unused105] 110 [unused106] 111 [unused107] 112 [unused108] 113 [unused109] 114 [unused110] 115 [unused111] 116 [unused112] 117 [unused113] 118 [unused114] 119 [unused115] 120 [unused116] 121 [unused117] 122 [unused118] 123 [unused119] 124 [unused120] 125 [unused121] 126 [unused122] 127 [unused123] 128 [unused124] 129 [unused125] 130 [unused126] 131 [unused127] 132 [unused128] 133 [unused129] 134 [unused130] 135 [unused131] 136 [unused132] 137 [unused133] 138 [unused134] 139 [unused135] 140 [unused136] 141 [unused137] 142 [unused138] 143 [unused139] 144 [unused140] 145 [unused141] 146 [unused142] 147 [unused143] 148 [unused144] 149 [unused145] 150 [unused146] 151 [unused147] 152 [unused148] 153 [unused149] 154 [unused150] 155 [unused151] 156 [unused152] 157 [unused153] 158 [unused154] 159 [unused155] 160 [unused156] 161 [unused157] 162 [unused158] 163 [unused159] 164 [unused160] 165 [unused161] 166 [unused162] 167 [unused163] 168 [unused164] 169 [unused165] 170 [unused166] 171 [unused167] 172 [unused168] 173 [unused169] 174 [unused170] 175 [unused171] 176 [unused172] 177 [unused173] 178 [unused174] 179 [unused175] 180 [unused176] 181 [unused177] 182 [unused178] 183 [unused179] 184 [unused180] 185 [unused181] 186 [unused182] 187 [unused183] 188 [unused184] 189 [unused185] 190 [unused186] 191 [unused187] 192 [unused188] 193 [unused189] 194 [unused190] 195 [unused191] 196 [unused192] 197 [unused193] 198 [unused194] 199 [unused195] 200 [unused196] 201 [unused197] 202 [unused198] 203 [unused199] 204 [unused200] 205 [unused201] 206 [unused202] 207 [unused203] 208 [unused204] 209 [unused205] 210 [unused206] 211 [unused207] 212 [unused208] 213 [unused209] 214 [unused210] 215 [unused211] 216 [unused212] 217 [unused213] 218 [unused214] 219 [unused215] 220 [unused216] 221 [unused217] 222 [unused218] 223 [unused219] 224 [unused220] 225 [unused221] 226 [unused222] 227 [unused223] 228 [unused224] 229 [unused225] 230 [unused226] 231 [unused227] 232 [unused228] 233 [unused229] 234 [unused230] 235 [unused231] 236 [unused232] 237 [unused233] 238 [unused234] 239 [unused235] 240 [unused236] 241 [unused237] 242 [unused238] 243 [unused239] 244 [unused240] 245 [unused241] 246 [unused242] 247 [unused243] 248 [unused244] 249 [unused245] 250 [unused246] 251 [unused247] 252 [unused248] 253 [unused249] 254 [unused250] 255 [unused251] 256 [unused252] 257 [unused253] 258 [unused254] 259 [unused255] 260 [unused256] 261 [unused257] 262 [unused258] 263 [unused259] 264 [unused260] 265 [unused261] 266 [unused262] 267 [unused263] 268 [unused264] 269 [unused265] 270 [unused266] 271 [unused267] 272 [unused268] 273 [unused269] 274 [unused270] 275 [unused271] 276 [unused272] 277 [unused273] 278 [unused274] 279 [unused275] 280 [unused276] 281 [unused277] 282 [unused278] 283 [unused279] 284 [unused280] 285 [unused281] 286 [unused282] 287 [unused283] 288 [unused284] 289 [unused285] 290 [unused286] 291 [unused287] 292 [unused288] 293 [unused289] 294 [unused290] 295 [unused291] 296 [unused292] 297 [unused293] 298 [unused294] 299 [unused295] 300 [unused296] 301 [unused297] 302 [unused298] 303 [unused299] 304 [unused300] 305 [unused301] 306 [unused302] 307 [unused303] 308 [unused304] 309 [unused305] 310 [unused306] 311 [unused307] 312 [unused308] 313 [unused309] 314 [unused310] 315 [unused311] 316 [unused312] 317 [unused313] 318 [unused314] 319 [unused315] 320 [unused316] 321 [unused317] 322 [unused318] 323 [unused319] 324 [unused320] 325 [unused321] 326 [unused322] 327 [unused323] 328 [unused324] 329 [unused325] 330 [unused326] 331 [unused327] 332 [unused328] 333 [unused329] 334 [unused330] 335 [unused331] 336 [unused332] 337 [unused333] 338 [unused334] 339 [unused335] 340 [unused336] 341 [unused337] 342 [unused338] 343 [unused339] 344 [unused340] 345 [unused341] 346 [unused342] 347 [unused343] 348 [unused344] 349 [unused345] 350 [unused346] 351 [unused347] 352 [unused348] 353 [unused349] 354 [unused350] 355 [unused351] 356 [unused352] 357 [unused353] 358 [unused354] 359 [unused355] 360 [unused356] 361 [unused357] 362 [unused358] 363 [unused359] 364 [unused360] 365 [unused361] 366 [unused362] 367 [unused363] 368 [unused364] 369 [unused365] 370 [unused366] 371 [unused367] 372 [unused368] 373 [unused369] 374 [unused370] 375 [unused371] 376 [unused372] 377 [unused373] 378 [unused374] 379 [unused375] 380 [unused376] 381 [unused377] 382 [unused378] 383 [unused379] 384 [unused380] 385 [unused381] 386 [unused382] 387 [unused383] 388 [unused384] 389 [unused385] 390 [unused386] 391 [unused387] 392 [unused388] 393 [unused389] 394 [unused390] 395 [unused391] 396 [unused392] 397 [unused393] 398 [unused394] 399 [unused395] 400 [unused396] 401 [unused397] 402 [unused398] 403 [unused399] 404 [unused400] 405 [unused401] 406 [unused402] 407 [unused403] 408 [unused404] 409 [unused405] 410 [unused406] 411 [unused407] 412 [unused408] 413 [unused409] 414 [unused410] 415 [unused411] 416 [unused412] 417 [unused413] 418 [unused414] 419 [unused415] 420 [unused416] 421 [unused417] 422 [unused418] 423 [unused419] 424 [unused420] 425 [unused421] 426 [unused422] 427 [unused423] 428 [unused424] 429 [unused425] 430 [unused426] 431 [unused427] 432 [unused428] 433 [unused429] 434 [unused430] 435 [unused431] 436 [unused432] 437 [unused433] 438 [unused434] 439 [unused435] 440 [unused436] 441 [unused437] 442 [unused438] 443 [unused439] 444 [unused440] 445 [unused441] 446 [unused442] 447 [unused443] 448 [unused444] 449 [unused445] 450 [unused446] 451 [unused447] 452 [unused448] 453 [unused449] 454 [unused450] 455 [unused451] 456 [unused452] 457 [unused453] 458 [unused454] 459 [unused455] 460 [unused456] 461 [unused457] 462 [unused458] 463 [unused459] 464 [unused460] 465 [unused461] 466 [unused462] 467 [unused463] 468 [unused464] 469 [unused465] 470 [unused466] 471 [unused467] 472 [unused468] 473 [unused469] 474 [unused470] 475 [unused471] 476 [unused472] 477 [unused473] 478 [unused474] 479 [unused475] 480 [unused476] 481 [unused477] 482 [unused478] 483 [unused479] 484 [unused480] 485 [unused481] 486 [unused482] 487 [unused483] 488 [unused484] 489 [unused485] 490 [unused486] 491 [unused487] 492 [unused488] 493 [unused489] 494 [unused490] 495 [unused491] 496 [unused492] 497 [unused493] 498 [unused494] 499 [unused495] 500 [unused496] 501 [unused497] 502 [unused498] 503 [unused499] 504 [unused500] 505 [unused501] 506 [unused502] 507 [unused503] 508 [unused504] 509 [unused505] 510 [unused506] 511 [unused507] 512 [unused508] 513 [unused509] 514 [unused510

评论收藏

内容反馈