Datasets:

Modalities:
Text
Formats:
json
Size:
< 1K
Libraries:
Datasets
pandas
ydshieh HF Staff commited on
Commit
8b1a112
·
1 Parent(s): 421e91b

Upload processor_classes.json

Browse files
Files changed (1) hide show
  1. processor_classes.json +78 -0
processor_classes.json CHANGED
@@ -461,6 +461,12 @@
461
  ],
462
  "processor_classes": []
463
  },
 
 
 
 
 
 
464
  "MobileViTModel": {
465
  "tokenizer_classes": [],
466
  "processor_classes": [
@@ -592,6 +598,12 @@
592
  ],
593
  "processor_classes": []
594
  },
 
 
 
 
 
 
595
  "RoFormerModel": {
596
  "tokenizer_classes": [
597
  "RoFormerTokenizerFast",
@@ -652,6 +664,12 @@
652
  "ViTImageProcessor"
653
  ]
654
  },
 
 
 
 
 
 
655
  "T5Model": {
656
  "tokenizer_classes": [
657
  "T5TokenizerFast"
@@ -2188,6 +2206,18 @@
2188
  ],
2189
  "processor_classes": []
2190
  },
 
 
 
 
 
 
 
 
 
 
 
 
2191
  "MobileViTForImageClassification": {
2192
  "tokenizer_classes": [],
2193
  "processor_classes": [
@@ -2497,6 +2527,48 @@
2497
  "ConvNextImageProcessor"
2498
  ]
2499
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2500
  "RoFormerForCausalLM": {
2501
  "tokenizer_classes": [
2502
  "RoFormerTokenizerFast",
@@ -2700,6 +2772,12 @@
2700
  "ViTImageProcessor"
2701
  ]
2702
  },
 
 
 
 
 
 
2703
  "T5ForConditionalGeneration": {
2704
  "tokenizer_classes": [
2705
  "T5TokenizerFast"
 
461
  ],
462
  "processor_classes": []
463
  },
464
+ "MobileNetV2Model": {
465
+ "tokenizer_classes": [],
466
+ "processor_classes": [
467
+ "MobileNetV2ImageProcessor"
468
+ ]
469
+ },
470
  "MobileViTModel": {
471
  "tokenizer_classes": [],
472
  "processor_classes": [
 
598
  ],
599
  "processor_classes": []
600
  },
601
+ "RoCBertModel": {
602
+ "tokenizer_classes": [
603
+ "RoCBertTokenizer"
604
+ ],
605
+ "processor_classes": []
606
+ },
607
  "RoFormerModel": {
608
  "tokenizer_classes": [
609
  "RoFormerTokenizerFast",
 
664
  "ViTImageProcessor"
665
  ]
666
  },
667
+ "SwitchTransformersModel": {
668
+ "tokenizer_classes": [
669
+ "T5TokenizerFast"
670
+ ],
671
+ "processor_classes": []
672
+ },
673
  "T5Model": {
674
  "tokenizer_classes": [
675
  "T5TokenizerFast"
 
2206
  ],
2207
  "processor_classes": []
2208
  },
2209
+ "MobileNetV2ForImageClassification": {
2210
+ "tokenizer_classes": [],
2211
+ "processor_classes": [
2212
+ "MobileNetV2ImageProcessor"
2213
+ ]
2214
+ },
2215
+ "MobileNetV2ForSemanticSegmentation": {
2216
+ "tokenizer_classes": [],
2217
+ "processor_classes": [
2218
+ "MobileNetV2ImageProcessor"
2219
+ ]
2220
+ },
2221
  "MobileViTForImageClassification": {
2222
  "tokenizer_classes": [],
2223
  "processor_classes": [
 
2527
  "ConvNextImageProcessor"
2528
  ]
2529
  },
2530
+ "RoCBertForCausalLM": {
2531
+ "tokenizer_classes": [
2532
+ "RoCBertTokenizer"
2533
+ ],
2534
+ "processor_classes": []
2535
+ },
2536
+ "RoCBertForMaskedLM": {
2537
+ "tokenizer_classes": [
2538
+ "RoCBertTokenizer"
2539
+ ],
2540
+ "processor_classes": []
2541
+ },
2542
+ "RoCBertForMultipleChoice": {
2543
+ "tokenizer_classes": [
2544
+ "RoCBertTokenizer"
2545
+ ],
2546
+ "processor_classes": []
2547
+ },
2548
+ "RoCBertForPreTraining": {
2549
+ "tokenizer_classes": [
2550
+ "RoCBertTokenizer"
2551
+ ],
2552
+ "processor_classes": []
2553
+ },
2554
+ "RoCBertForQuestionAnswering": {
2555
+ "tokenizer_classes": [
2556
+ "RoCBertTokenizer"
2557
+ ],
2558
+ "processor_classes": []
2559
+ },
2560
+ "RoCBertForSequenceClassification": {
2561
+ "tokenizer_classes": [
2562
+ "RoCBertTokenizer"
2563
+ ],
2564
+ "processor_classes": []
2565
+ },
2566
+ "RoCBertForTokenClassification": {
2567
+ "tokenizer_classes": [
2568
+ "RoCBertTokenizer"
2569
+ ],
2570
+ "processor_classes": []
2571
+ },
2572
  "RoFormerForCausalLM": {
2573
  "tokenizer_classes": [
2574
  "RoFormerTokenizerFast",
 
2772
  "ViTImageProcessor"
2773
  ]
2774
  },
2775
+ "SwitchTransformersForConditionalGeneration": {
2776
+ "tokenizer_classes": [
2777
+ "T5TokenizerFast"
2778
+ ],
2779
+ "processor_classes": []
2780
+ },
2781
  "T5ForConditionalGeneration": {
2782
  "tokenizer_classes": [
2783
  "T5TokenizerFast"