lighteternal commited on
Commit
3beaf73
1 Parent(s): e5de2d3

Fixed readme and documentation paths

Browse files
.ipynb_checkpoints/ASR_Inference-checkpoint.ipynb CHANGED
@@ -2,14 +2,23 @@
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  }
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- "outputs": [],
 
 
 
 
 
 
 
 
 
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  "source": [
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  "from transformers import Wav2Vec2ForCTC\n",
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  "from transformers import Wav2Vec2Processor\n",
@@ -24,11 +33,11 @@
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  },
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  {
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  "cell_type": "code",
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  "outputs": [
@@ -83,17 +92,17 @@
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  }
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  ],
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  "source": [
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- "model = Wav2Vec2ForCTC.from_pretrained(\"wav2vec2-large-xlsr-greek/checkpoint-18400/\").to(\"cuda\")\n",
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- "processor = Wav2Vec2Processor.from_pretrained(\"wav2vec2-large-xlsr-greek/\")"
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  ]
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- "Loading cached processed dataset at /home/earendil/.cache/huggingface/datasets/common_voice/el-afd0a157f05ee080/6.1.0/32954a9015faa0d840f6c6894938545c5d12bc5d8936a80079af74bf50d71564/cache-44bf1791baae8e2e.arrow\n",
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- "Loading cached processed dataset at /home/earendil/.cache/huggingface/datasets/common_voice/el-afd0a157f05ee080/6.1.0/32954a9015faa0d840f6c6894938545c5d12bc5d8936a80079af74bf50d71564/cache-ecc0dfac5615a58e.arrow\n"
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- "Loading cached processed dataset at /home/earendil/.cache/huggingface/datasets/common_voice/el-afd0a157f05ee080/6.1.0/32954a9015faa0d840f6c6894938545c5d12bc5d8936a80079af74bf50d71564/cache-923d905502a8661d.arrow\n"
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- ],
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- "source": [
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- "common_voice_test = common_voice_test.map(resample, num_proc=8)"
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- "Loading cached processed dataset at /home/earendil/.cache/huggingface/datasets/common_voice/el-afd0a157f05ee080/6.1.0/32954a9015faa0d840f6c6894938545c5d12bc5d8936a80079af74bf50d71564/cache-a30edec53656694c.arrow\n"
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  "outputs": [
@@ -445,6 +535,13 @@
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  "print(common_voice_test_transcription[\"sentence\"][example].lower())\n",
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  "# πού θέλεις να πάμε; ρώτησε φοβισμένα ο βασιλιάς."
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  ]
 
 
 
 
 
 
 
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  "metadata": {
 
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  "cells": [
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+ "execution_count": 1,
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+ "end_time": "2021-03-14T19:32:40.765119Z",
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+ "start_time": "2021-03-14T19:32:39.314790Z"
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  },
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+ "outputs": [
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+ {
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+ "name": "stderr",
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+ "output_type": "stream",
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+ "text": [
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+ "/home/earendil/anaconda3/envs/cuda110/lib/python3.8/site-packages/torchaudio/backend/utils.py:53: UserWarning: \"sox\" backend is being deprecated. The default backend will be changed to \"sox_io\" backend in 0.8.0 and \"sox\" backend will be removed in 0.9.0. Please migrate to \"sox_io\" backend. Please refer to https://github.com/pytorch/audio/issues/903 for the detail.\n",
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+ " warnings.warn(\n"
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+ ]
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+ }
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+ ],
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  "source": [
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  "from transformers import Wav2Vec2ForCTC\n",
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  "from transformers import Wav2Vec2Processor\n",
 
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  {
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  }
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  "outputs": [
 
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  ],
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  "source": [
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+ "model = Wav2Vec2ForCTC.from_pretrained(\".\").to(\"cuda\")\n",
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+ "processor = Wav2Vec2Processor.from_pretrained(\".\")"
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  ]
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+ "common_voice_test = common_voice_test.map(resample, num_proc=8)"
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+ " return array(a, dtype, copy=False, order=order)\n"
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457
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458
  ],
 
462
  },
463
  {
464
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465
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466
  "metadata": {
467
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468
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469
+ "start_time": "2021-03-14T19:33:11.216118Z"
470
  }
471
  },
472
  "outputs": [
 
485
  },
486
  {
487
  "cell_type": "code",
488
+ "execution_count": 11,
489
  "metadata": {
490
  "ExecuteTime": {
491
+ "end_time": "2021-03-14T19:33:39.856174Z",
492
+ "start_time": "2021-03-14T19:33:14.402825Z"
493
  }
494
  },
495
  "outputs": [],
 
506
  },
507
  {
508
  "cell_type": "code",
509
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510
  "metadata": {
511
  "ExecuteTime": {
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+ "end_time": "2021-03-14T19:33:39.887236Z",
513
+ "start_time": "2021-03-14T19:33:39.881958Z"
514
  }
515
  },
516
  "outputs": [
 
535
  "print(common_voice_test_transcription[\"sentence\"][example].lower())\n",
536
  "# πού θέλεις να πάμε; ρώτησε φοβισμένα ο βασιλιάς."
537
  ]
538
+ },
539
+ {
540
+ "cell_type": "code",
541
+ "execution_count": null,
542
+ "metadata": {},
543
+ "outputs": [],
544
+ "source": []
545
  }
546
  ],
547
  "metadata": {
ASR_Inference.ipynb CHANGED
@@ -2,14 +2,23 @@
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
- "execution_count": 15,
6
  "metadata": {
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  "ExecuteTime": {
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- "end_time": "2021-03-14T18:07:15.328900Z",
9
- "start_time": "2021-03-14T18:07:15.326838Z"
10
  }
11
  },
12
- "outputs": [],
 
 
 
 
 
 
 
 
 
13
  "source": [
14
  "from transformers import Wav2Vec2ForCTC\n",
15
  "from transformers import Wav2Vec2Processor\n",
@@ -24,11 +33,11 @@
24
  },
25
  {
26
  "cell_type": "code",
27
- "execution_count": 16,
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  "metadata": {
29
  "ExecuteTime": {
30
- "end_time": "2021-03-14T18:07:15.933957Z",
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- "start_time": "2021-03-14T18:07:15.927789Z"
32
  }
33
  },
34
  "outputs": [],
@@ -66,11 +75,11 @@
66
  },
67
  {
68
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  "metadata": {
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74
  }
75
  },
76
  "outputs": [
@@ -83,17 +92,17 @@
83
  }
84
  ],
85
  "source": [
86
- "model = Wav2Vec2ForCTC.from_pretrained(\"wav2vec2-large-xlsr-greek/checkpoint-18400/\").to(\"cuda\")\n",
87
- "processor = Wav2Vec2Processor.from_pretrained(\"wav2vec2-large-xlsr-greek/\")"
88
  ]
89
  },
90
  {
91
  "cell_type": "code",
92
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  "metadata": {
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  "ExecuteTime": {
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96
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97
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98
  },
99
  "outputs": [
@@ -112,11 +121,11 @@
112
  },
113
  {
114
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  "metadata": {
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120
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121
  },
122
  "outputs": [],
@@ -126,11 +135,11 @@
126
  },
127
  {
128
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  "metadata": {
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134
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135
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136
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@@ -148,11 +157,11 @@
148
  },
149
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150
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  "metadata": {
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155
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156
  }
157
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158
  "outputs": [
@@ -170,11 +179,11 @@
170
  },
171
  {
172
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173
- "execution_count": 22,
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  "metadata": {
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177
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178
  }
179
  },
180
  "outputs": [
@@ -224,30 +233,28 @@
224
  "name": "stdout",
225
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226
  "text": [
227
- " "
228
  ]
229
  },
230
  {
231
  "name": "stderr",
232
  "output_type": "stream",
233
  "text": [
234
- "Loading cached processed dataset at /home/earendil/.cache/huggingface/datasets/common_voice/el-afd0a157f05ee080/6.1.0/32954a9015faa0d840f6c6894938545c5d12bc5d8936a80079af74bf50d71564/cache-44bf1791baae8e2e.arrow\n",
235
- "Loading cached processed dataset at /home/earendil/.cache/huggingface/datasets/common_voice/el-afd0a157f05ee080/6.1.0/32954a9015faa0d840f6c6894938545c5d12bc5d8936a80079af74bf50d71564/cache-ecc0dfac5615a58e.arrow\n"
236
  ]
237
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238
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239
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240
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243
  ]
244
  },
245
  {
246
  "name": "stderr",
247
  "output_type": "stream",
248
  "text": [
249
- "Loading cached processed dataset at /home/earendil/.cache/huggingface/datasets/common_voice/el-afd0a157f05ee080/6.1.0/32954a9015faa0d840f6c6894938545c5d12bc5d8936a80079af74bf50d71564/cache-bb54bb00dae79669.arrow\n",
250
- "Loading cached processed dataset at /home/earendil/.cache/huggingface/datasets/common_voice/el-afd0a157f05ee080/6.1.0/32954a9015faa0d840f6c6894938545c5d12bc5d8936a80079af74bf50d71564/cache-923d905502a8661d.arrow\n"
251
  ]
252
  },
253
  {
@@ -261,37 +268,21 @@
261
  "name": "stderr",
262
  "output_type": "stream",
263
  "text": [
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- "Loading cached processed dataset at /home/earendil/.cache/huggingface/datasets/common_voice/el-afd0a157f05ee080/6.1.0/32954a9015faa0d840f6c6894938545c5d12bc5d8936a80079af74bf50d71564/cache-062aeafc3b8816c1.arrow\n"
265
  ]
266
- }
267
- ],
268
- "source": [
269
- "common_voice_test = common_voice_test.map(resample, num_proc=8)"
270
- ]
271
- },
272
- {
273
- "cell_type": "code",
274
- "execution_count": 23,
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278
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279
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280
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281
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282
  {
283
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284
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285
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287
  ]
288
  },
289
  {
290
  "name": "stderr",
291
  "output_type": "stream",
292
  "text": [
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- "Loading cached processed dataset at /home/earendil/.cache/huggingface/datasets/common_voice/el-afd0a157f05ee080/6.1.0/32954a9015faa0d840f6c6894938545c5d12bc5d8936a80079af74bf50d71564/cache-82be72eab73488a6.arrow\n",
294
- "Loading cached processed dataset at /home/earendil/.cache/huggingface/datasets/common_voice/el-afd0a157f05ee080/6.1.0/32954a9015faa0d840f6c6894938545c5d12bc5d8936a80079af74bf50d71564/cache-a30edec53656694c.arrow\n"
295
  ]
296
  },
297
  {
@@ -305,64 +296,163 @@
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306
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309
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310
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  {
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  ]
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  },
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  {
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337
- ]
 
 
 
 
 
 
 
338
  },
339
  {
340
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344
- ]
 
 
 
 
 
 
 
345
  },
346
  {
347
- "name": "stderr",
348
- "output_type": "stream",
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351
- "Loading cached processed dataset at /home/earendil/.cache/huggingface/datasets/common_voice/el-afd0a157f05ee080/6.1.0/32954a9015faa0d840f6c6894938545c5d12bc5d8936a80079af74bf50d71564/cache-2cc086daed2595be.arrow\n"
352
- ]
 
 
 
 
 
 
353
  },
354
  {
355
- "name": "stdout",
356
- "output_type": "stream",
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360
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  {
362
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363
  "output_type": "stream",
364
  "text": [
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- "Loading cached processed dataset at /home/earendil/.cache/huggingface/datasets/common_voice/el-afd0a157f05ee080/6.1.0/32954a9015faa0d840f6c6894938545c5d12bc5d8936a80079af74bf50d71564/cache-118401c99df7b83c.arrow\n"
 
 
 
 
 
 
 
366
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367
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@@ -372,11 +462,11 @@
372
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  {
374
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375
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376
  "metadata": {
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  "ExecuteTime": {
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379
- "start_time": "2021-03-14T18:07:27.056686Z"
380
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381
  },
382
  "outputs": [
@@ -395,11 +485,11 @@
395
  },
396
  {
397
  "cell_type": "code",
398
- "execution_count": 25,
399
  "metadata": {
400
  "ExecuteTime": {
401
- "end_time": "2021-03-14T18:07:54.722520Z",
402
- "start_time": "2021-03-14T18:07:29.451275Z"
403
  }
404
  },
405
  "outputs": [],
@@ -416,11 +506,11 @@
416
  },
417
  {
418
  "cell_type": "code",
419
- "execution_count": 26,
420
  "metadata": {
421
  "ExecuteTime": {
422
- "end_time": "2021-03-14T18:07:54.742988Z",
423
- "start_time": "2021-03-14T18:07:54.739626Z"
424
  }
425
  },
426
  "outputs": [
@@ -445,6 +535,13 @@
445
  "print(common_voice_test_transcription[\"sentence\"][example].lower())\n",
446
  "# πού θέλεις να πάμε; ρώτησε φοβισμένα ο βασιλιάς."
447
  ]
 
 
 
 
 
 
 
448
  }
449
  ],
450
  "metadata": {
 
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
+ "execution_count": 1,
6
  "metadata": {
7
  "ExecuteTime": {
8
+ "end_time": "2021-03-14T19:32:40.765119Z",
9
+ "start_time": "2021-03-14T19:32:39.314790Z"
10
  }
11
  },
12
+ "outputs": [
13
+ {
14
+ "name": "stderr",
15
+ "output_type": "stream",
16
+ "text": [
17
+ "/home/earendil/anaconda3/envs/cuda110/lib/python3.8/site-packages/torchaudio/backend/utils.py:53: UserWarning: \"sox\" backend is being deprecated. The default backend will be changed to \"sox_io\" backend in 0.8.0 and \"sox\" backend will be removed in 0.9.0. Please migrate to \"sox_io\" backend. Please refer to https://github.com/pytorch/audio/issues/903 for the detail.\n",
18
+ " warnings.warn(\n"
19
+ ]
20
+ }
21
+ ],
22
  "source": [
23
  "from transformers import Wav2Vec2ForCTC\n",
24
  "from transformers import Wav2Vec2Processor\n",
 
33
  },
34
  {
35
  "cell_type": "code",
36
+ "execution_count": 2,
37
  "metadata": {
38
  "ExecuteTime": {
39
+ "end_time": "2021-03-14T19:32:40.774860Z",
40
+ "start_time": "2021-03-14T19:32:40.771235Z"
41
  }
42
  },
43
  "outputs": [],
 
75
  },
76
  {
77
  "cell_type": "code",
78
+ "execution_count": 3,
79
  "metadata": {
80
  "ExecuteTime": {
81
+ "end_time": "2021-03-14T19:32:49.565850Z",
82
+ "start_time": "2021-03-14T19:32:41.891601Z"
83
  }
84
  },
85
  "outputs": [
 
92
  }
93
  ],
94
  "source": [
95
+ "model = Wav2Vec2ForCTC.from_pretrained(\".\").to(\"cuda\")\n",
96
+ "processor = Wav2Vec2Processor.from_pretrained(\".\")"
97
  ]
98
  },
99
  {
100
  "cell_type": "code",
101
+ "execution_count": 4,
102
  "metadata": {
103
  "ExecuteTime": {
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+ "end_time": "2021-03-14T19:33:03.514113Z",
105
+ "start_time": "2021-03-14T19:33:00.953049Z"
106
  }
107
  },
108
  "outputs": [
 
121
  },
122
  {
123
  "cell_type": "code",
124
+ "execution_count": 5,
125
  "metadata": {
126
  "ExecuteTime": {
127
+ "end_time": "2021-03-14T19:33:03.528699Z",
128
+ "start_time": "2021-03-14T19:33:03.525034Z"
129
  }
130
  },
131
  "outputs": [],
 
135
  },
136
  {
137
  "cell_type": "code",
138
+ "execution_count": 6,
139
  "metadata": {
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  "ExecuteTime": {
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+ "end_time": "2021-03-14T19:33:03.542260Z",
142
+ "start_time": "2021-03-14T19:33:03.538498Z"
143
  }
144
  },
145
  "outputs": [
 
157
  },
158
  {
159
  "cell_type": "code",
160
+ "execution_count": 7,
161
  "metadata": {
162
  "ExecuteTime": {
163
+ "end_time": "2021-03-14T19:33:03.561798Z",
164
+ "start_time": "2021-03-14T19:33:03.554256Z"
165
  }
166
  },
167
  "outputs": [
 
179
  },
180
  {
181
  "cell_type": "code",
182
+ "execution_count": 8,
183
  "metadata": {
184
  "ExecuteTime": {
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+ "end_time": "2021-03-14T19:33:04.357229Z",
186
+ "start_time": "2021-03-14T19:33:03.570805Z"
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  }
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  "name": "stderr",
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+ ],
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+ "/home/earendil/anaconda3/envs/cuda110/lib/python3.8/site-packages/numpy/core/_asarray.py:83: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray\n",
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+ "\n",
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  ],
 
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+ "execution_count": 10,
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  "metadata": {
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+ "end_time": "2021-03-14T19:33:14.391497Z",
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  }
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  },
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  "outputs": [
 
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  },
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487
  "cell_type": "code",
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+ "execution_count": 11,
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  "metadata": {
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  "ExecuteTime": {
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+ "end_time": "2021-03-14T19:33:39.856174Z",
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+ "start_time": "2021-03-14T19:33:14.402825Z"
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  }
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  },
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  "outputs": [],
 
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  },
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  {
508
  "cell_type": "code",
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+ "execution_count": 12,
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  "metadata": {
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  "ExecuteTime": {
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+ "end_time": "2021-03-14T19:33:39.887236Z",
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+ "start_time": "2021-03-14T19:33:39.881958Z"
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  }
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  },
516
  "outputs": [
 
535
  "print(common_voice_test_transcription[\"sentence\"][example].lower())\n",
536
  "# πού θέλεις να πάμε; ρώτησε φοβισμένα ο βασιλιάς."
537
  ]
538
+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": null,
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+ "metadata": {},
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+ "outputs": [],
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+ "source": []
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  }
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  ],
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  "metadata": {
README.md CHANGED
@@ -17,7 +17,7 @@ license: apache-2.0
17
  * licence: apache-2.0
18
  * dataset: CommonVoice (EL), 364MB: https://commonvoice.mozilla.org/el/datasets
19
  * model: XLSR-Wav2Vec2, trained for 60 epochs
20
- * metrics: WER
21
 
22
  ### Model description
23
 
@@ -82,8 +82,8 @@ def prepare_dataset(batch):
82
 
83
  # Loading model and dataset processor
84
 
85
- model = Wav2Vec2ForCTC.from_pretrained("wav2vec2-large-xlsr-greek/checkpoint-9200/").to("cuda")
86
- processor = Wav2Vec2Processor.from_pretrained("wav2vec2-large-xlsr-greek/")
87
 
88
 
89
  # Preparing speech dataset to be suitable for inference
 
17
  * licence: apache-2.0
18
  * dataset: CommonVoice (EL), 364MB: https://commonvoice.mozilla.org/el/datasets
19
  * model: XLSR-Wav2Vec2, trained for 60 epochs
20
+ * metrics: Word Error Rate (WER)
21
 
22
  ### Model description
23
 
 
82
 
83
  # Loading model and dataset processor
84
 
85
+ model = Wav2Vec2ForCTC.from_pretrained(".").to("cuda")
86
+ processor = Wav2Vec2Processor.from_pretrained(".")
87
 
88
 
89
  # Preparing speech dataset to be suitable for inference