Hugging Face's logo

Datasets:
hf-internal-testing
/
transformers-metadata

Dataset card Data Studio Files
xet
Community
sgugger commited on
Commit
f746678
·
1 Parent(s): 9e539c6

Add pipeline tags

Browse files
Files changed (1) hide show
  1. pipeline_tags.json +259 -74
pipeline_tags.json CHANGED
@@ -1,74 +1,259 @@
1
- {"model_type":"albert","pytorch":true,"tensorflow":true,"flax":true}
2
- {"model_type":"bart","pytorch":true,"tensorflow":true,"flax":true}
3
- {"model_type":"beit","pytorch":true,"tensorflow":false,"flax":true}
4
- {"model_type":"bert","pytorch":true,"tensorflow":true,"flax":true}
5
- {"model_type":"bert-generation","pytorch":true,"tensorflow":false,"flax":false}
6
- {"model_type":"big_bird","pytorch":true,"tensorflow":false,"flax":true}
7
- {"model_type":"bigbird_pegasus","pytorch":true,"tensorflow":false,"flax":false}
8
- {"model_type":"blenderbot","pytorch":true,"tensorflow":true,"flax":false}
9
- {"model_type":"blenderbot-small","pytorch":true,"tensorflow":true,"flax":false}
10
- {"model_type":"camembert","pytorch":true,"tensorflow":true,"flax":false}
11
- {"model_type":"canine","pytorch":true,"tensorflow":false,"flax":false}
12
- {"model_type":"clip","pytorch":true,"tensorflow":false,"flax":true}
13
- {"model_type":"convbert","pytorch":true,"tensorflow":true,"flax":false}
14
- {"model_type":"ctrl","pytorch":true,"tensorflow":true,"flax":false}
15
- {"model_type":"deberta","pytorch":true,"tensorflow":true,"flax":false}
16
- {"model_type":"deberta-v2","pytorch":true,"tensorflow":true,"flax":false}
17
- {"model_type":"deit","pytorch":true,"tensorflow":false,"flax":false}
18
- {"model_type":"detr","pytorch":true,"tensorflow":false,"flax":false}
19
- {"model_type":"distilbert","pytorch":true,"tensorflow":true,"flax":true}
20
- {"model_type":"dpr","pytorch":true,"tensorflow":true,"flax":false}
21
- {"model_type":"electra","pytorch":true,"tensorflow":true,"flax":true}
22
- {"model_type":"encoder-decoder","pytorch":true,"tensorflow":true,"flax":true}
23
- {"model_type":"flaubert","pytorch":true,"tensorflow":true,"flax":false}
24
- {"model_type":"fnet","pytorch":true,"tensorflow":false,"flax":false}
25
- {"model_type":"fsmt","pytorch":true,"tensorflow":false,"flax":false}
26
- {"model_type":"funnel","pytorch":true,"tensorflow":true,"flax":false}
27
- {"model_type":"gpt2","pytorch":true,"tensorflow":true,"flax":true}
28
- {"model_type":"gpt_neo","pytorch":true,"tensorflow":false,"flax":true}
29
- {"model_type":"gptj","pytorch":true,"tensorflow":false,"flax":false}
30
- {"model_type":"hubert","pytorch":true,"tensorflow":true,"flax":false}
31
- {"model_type":"ibert","pytorch":true,"tensorflow":false,"flax":false}
32
- {"model_type":"layoutlm","pytorch":true,"tensorflow":true,"flax":false}
33
- {"model_type":"layoutlmv2","pytorch":true,"tensorflow":false,"flax":false}
34
- {"model_type":"led","pytorch":true,"tensorflow":true,"flax":false}
35
- {"model_type":"longformer","pytorch":true,"tensorflow":true,"flax":false}
36
- {"model_type":"luke","pytorch":true,"tensorflow":false,"flax":false}
37
- {"model_type":"lxmert","pytorch":true,"tensorflow":true,"flax":false}
38
- {"model_type":"m2m_100","pytorch":true,"tensorflow":false,"flax":false}
39
- {"model_type":"marian","pytorch":true,"tensorflow":true,"flax":true}
40
- {"model_type":"mbart","pytorch":true,"tensorflow":true,"flax":true}
41
- {"model_type":"megatron-bert","pytorch":true,"tensorflow":false,"flax":false}
42
- {"model_type":"mobilebert","pytorch":true,"tensorflow":true,"flax":false}
43
- {"model_type":"mpnet","pytorch":true,"tensorflow":true,"flax":false}
44
- {"model_type":"mt5","pytorch":true,"tensorflow":true,"flax":true}
45
- {"model_type":"openai-gpt","pytorch":true,"tensorflow":true,"flax":false}
46
- {"model_type":"pegasus","pytorch":true,"tensorflow":true,"flax":true}
47
- {"model_type":"prophetnet","pytorch":true,"tensorflow":false,"flax":false}
48
- {"model_type":"rag","pytorch":true,"tensorflow":true,"flax":false}
49
- {"model_type":"reformer","pytorch":true,"tensorflow":false,"flax":false}
50
- {"model_type":"rembert","pytorch":true,"tensorflow":true,"flax":false}
51
- {"model_type":"retribert","pytorch":true,"tensorflow":false,"flax":false}
52
- {"model_type":"roberta","pytorch":true,"tensorflow":true,"flax":true}
53
- {"model_type":"roformer","pytorch":true,"tensorflow":true,"flax":false}
54
- {"model_type":"segformer","pytorch":true,"tensorflow":false,"flax":false}
55
- {"model_type":"sew","pytorch":true,"tensorflow":false,"flax":false}
56
- {"model_type":"sew-d","pytorch":true,"tensorflow":false,"flax":false}
57
- {"model_type":"speech-encoder-decoder","pytorch":true,"tensorflow":false,"flax":false}
58
- {"model_type":"speech_to_text","pytorch":true,"tensorflow":false,"flax":false}
59
- {"model_type":"splinter","pytorch":true,"tensorflow":false,"flax":false}
60
- {"model_type":"squeezebert","pytorch":true,"tensorflow":false,"flax":false}
61
- {"model_type":"t5","pytorch":true,"tensorflow":true,"flax":true}
62
- {"model_type":"tapas","pytorch":true,"tensorflow":false,"flax":false}
63
- {"model_type":"transfo-xl","pytorch":true,"tensorflow":true,"flax":false}
64
- {"model_type":"trocr","pytorch":true,"tensorflow":false,"flax":false}
65
- {"model_type":"unispeech","pytorch":true,"tensorflow":false,"flax":false}
66
- {"model_type":"unispeech-sat","pytorch":true,"tensorflow":false,"flax":false}
67
- {"model_type":"vision-encoder-decoder","pytorch":true,"tensorflow":false,"flax":true}
68
- {"model_type":"visual_bert","pytorch":true,"tensorflow":false,"flax":false}
69
- {"model_type":"vit","pytorch":true,"tensorflow":true,"flax":true}
70
- {"model_type":"wav2vec2","pytorch":true,"tensorflow":true,"flax":true}
71
- {"model_type":"xlm","pytorch":true,"tensorflow":true,"flax":false}
72
- {"model_type":"xlm-prophetnet","pytorch":true,"tensorflow":false,"flax":false}
73
- {"model_type":"xlm-roberta","pytorch":true,"tensorflow":true,"flax":false}
74
- {"model_type":"xlnet","pytorch":true,"tensorflow":true,"flax":false}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"model_class":"FNetModel","pipeline_tag":"feature-extraction"}
2
+ {"model_class":"SegformerModel","pipeline_tag":"feature-extraction"}
3
+ {"model_class":"GPTJModel","pipeline_tag":"feature-extraction"}
4
+ {"model_class":"LayoutLMv2Model","pipeline_tag":"feature-extraction"}
5
+ {"model_class":"BeitModel","pipeline_tag":"feature-extraction"}
6
+ {"model_class":"RemBertModel","pipeline_tag":"feature-extraction"}
7
+ {"model_class":"VisualBertModel","pipeline_tag":"feature-extraction"}
8
+ {"model_class":"CanineModel","pipeline_tag":"feature-extraction"}
9
+ {"model_class":"RoFormerModel","pipeline_tag":"feature-extraction"}
10
+ {"model_class":"CLIPModel","pipeline_tag":"feature-extraction"}
11
+ {"model_class":"BigBirdPegasusModel","pipeline_tag":"feature-extraction"}
12
+ {"model_class":"DeiTModel","pipeline_tag":"feature-extraction"}
13
+ {"model_class":"LukeModel","pipeline_tag":"feature-extraction"}
14
+ {"model_class":"DetrModel","pipeline_tag":"feature-extraction"}
15
+ {"model_class":"GPTNeoModel","pipeline_tag":"feature-extraction"}
16
+ {"model_class":"BigBirdModel","pipeline_tag":"feature-extraction"}
17
+ {"model_class":"Speech2TextModel","pipeline_tag":"feature-extraction"}
18
+ {"model_class":"ViTModel","pipeline_tag":"feature-extraction"}
19
+ {"model_class":"Wav2Vec2Model","pipeline_tag":"feature-extraction"}
20
+ {"model_class":"UniSpeechSatModel","pipeline_tag":"feature-extraction"}
21
+ {"model_class":"UniSpeechModel","pipeline_tag":"feature-extraction"}
22
+ {"model_class":"HubertModel","pipeline_tag":"feature-extraction"}
23
+ {"model_class":"M2M100Model","pipeline_tag":"feature-extraction"}
24
+ {"model_class":"ConvBertModel","pipeline_tag":"feature-extraction"}
25
+ {"model_class":"LEDModel","pipeline_tag":"feature-extraction"}
26
+ {"model_class":"BlenderbotSmallModel","pipeline_tag":"feature-extraction"}
27
+ {"model_class":"RetriBertModel","pipeline_tag":"feature-extraction"}
28
+ {"model_class":"MT5Model","pipeline_tag":"feature-extraction"}
29
+ {"model_class":"T5Model","pipeline_tag":"feature-extraction"}
30
+ {"model_class":"PegasusModel","pipeline_tag":"feature-extraction"}
31
+ {"model_class":"MarianModel","pipeline_tag":"feature-extraction"}
32
+ {"model_class":"MBartModel","pipeline_tag":"feature-extraction"}
33
+ {"model_class":"BlenderbotModel","pipeline_tag":"feature-extraction"}
34
+ {"model_class":"DistilBertModel","pipeline_tag":"feature-extraction"}
35
+ {"model_class":"AlbertModel","pipeline_tag":"feature-extraction"}
36
+ {"model_class":"CamembertModel","pipeline_tag":"feature-extraction"}
37
+ {"model_class":"XLMRobertaModel","pipeline_tag":"feature-extraction"}
38
+ {"model_class":"BartModel","pipeline_tag":"feature-extraction"}
39
+ {"model_class":"LongformerModel","pipeline_tag":"feature-extraction"}
40
+ {"model_class":"RobertaModel","pipeline_tag":"feature-extraction"}
41
+ {"model_class":"LayoutLMModel","pipeline_tag":"feature-extraction"}
42
+ {"model_class":"SqueezeBertModel","pipeline_tag":"feature-extraction"}
43
+ {"model_class":"BertModel","pipeline_tag":"feature-extraction"}
44
+ {"model_class":"OpenAIGPTModel","pipeline_tag":"feature-extraction"}
45
+ {"model_class":"GPT2Model","pipeline_tag":"feature-extraction"}
46
+ {"model_class":"MegatronBertModel","pipeline_tag":"feature-extraction"}
47
+ {"model_class":"MobileBertModel","pipeline_tag":"feature-extraction"}
48
+ {"model_class":"TransfoXLModel","pipeline_tag":"feature-extraction"}
49
+ {"model_class":"XLNetModel","pipeline_tag":"feature-extraction"}
50
+ {"model_class":"FlaubertModel","pipeline_tag":"feature-extraction"}
51
+ {"model_class":"FSMTModel","pipeline_tag":"feature-extraction"}
52
+ {"model_class":"XLMModel","pipeline_tag":"feature-extraction"}
53
+ {"model_class":"CTRLModel","pipeline_tag":"feature-extraction"}
54
+ {"model_class":"ElectraModel","pipeline_tag":"feature-extraction"}
55
+ {"model_class":"ReformerModel","pipeline_tag":"feature-extraction"}
56
+ {"model_class":"FunnelModel","pipeline_tag":"feature-extraction"}
57
+ {"model_class":"FunnelBaseModel","pipeline_tag":"feature-extraction"}
58
+ {"model_class":"LxmertModel","pipeline_tag":"feature-extraction"}
59
+ {"model_class":"BertGenerationEncoder","pipeline_tag":"feature-extraction"}
60
+ {"model_class":"DebertaModel","pipeline_tag":"feature-extraction"}
61
+ {"model_class":"DebertaV2Model","pipeline_tag":"feature-extraction"}
62
+ {"model_class":"DPRQuestionEncoder","pipeline_tag":"feature-extraction"}
63
+ {"model_class":"XLMProphetNetModel","pipeline_tag":"feature-extraction"}
64
+ {"model_class":"ProphetNetModel","pipeline_tag":"feature-extraction"}
65
+ {"model_class":"MPNetModel","pipeline_tag":"feature-extraction"}
66
+ {"model_class":"TapasModel","pipeline_tag":"feature-extraction"}
67
+ {"model_class":"IBertModel","pipeline_tag":"feature-extraction"}
68
+ {"model_class":"SplinterModel","pipeline_tag":"feature-extraction"}
69
+ {"model_class":"SEWModel","pipeline_tag":"feature-extraction"}
70
+ {"model_class":"SEWDModel","pipeline_tag":"feature-extraction"}
71
+ {"model_class":"Wav2Vec2ForSequenceClassification","pipeline_tag":"audio_classification"}
72
+ {"model_class":"UniSpeechSatForSequenceClassification","pipeline_tag":"audio_classification"}
73
+ {"model_class":"UniSpeechForSequenceClassification","pipeline_tag":"audio_classification"}
74
+ {"model_class":"HubertForSequenceClassification","pipeline_tag":"audio_classification"}
75
+ {"model_class":"SEWForSequenceClassification","pipeline_tag":"audio_classification"}
76
+ {"model_class":"SEWDForSequenceClassification","pipeline_tag":"audio_classification"}
77
+ {"model_class":"TrOCRForCausalLM","pipeline_tag":"text-generation"}
78
+ {"model_class":"GPTJForCausalLM","pipeline_tag":"text-generation"}
79
+ {"model_class":"RemBertForCausalLM","pipeline_tag":"text-generation"}
80
+ {"model_class":"RoFormerForCausalLM","pipeline_tag":"text-generation"}
81
+ {"model_class":"BigBirdPegasusForCausalLM","pipeline_tag":"text-generation"}
82
+ {"model_class":"GPTNeoForCausalLM","pipeline_tag":"text-generation"}
83
+ {"model_class":"BigBirdForCausalLM","pipeline_tag":"text-generation"}
84
+ {"model_class":"CamembertForCausalLM","pipeline_tag":"text-generation"}
85
+ {"model_class":"XLMRobertaForCausalLM","pipeline_tag":"text-generation"}
86
+ {"model_class":"RobertaForCausalLM","pipeline_tag":"text-generation"}
87
+ {"model_class":"BertLMHeadModel","pipeline_tag":"text-generation"}
88
+ {"model_class":"OpenAIGPTLMHeadModel","pipeline_tag":"text-generation"}
89
+ {"model_class":"GPT2LMHeadModel","pipeline_tag":"text-generation"}
90
+ {"model_class":"TransfoXLLMHeadModel","pipeline_tag":"text-generation"}
91
+ {"model_class":"XLNetLMHeadModel","pipeline_tag":"text-generation"}
92
+ {"model_class":"XLMWithLMHeadModel","pipeline_tag":"text-generation"}
93
+ {"model_class":"CTRLLMHeadModel","pipeline_tag":"text-generation"}
94
+ {"model_class":"ReformerModelWithLMHead","pipeline_tag":"text-generation"}
95
+ {"model_class":"BertGenerationDecoder","pipeline_tag":"text-generation"}
96
+ {"model_class":"XLMProphetNetForCausalLM","pipeline_tag":"text-generation"}
97
+ {"model_class":"ProphetNetForCausalLM","pipeline_tag":"text-generation"}
98
+ {"model_class":"BartForCausalLM","pipeline_tag":"text-generation"}
99
+ {"model_class":"MBartForCausalLM","pipeline_tag":"text-generation"}
100
+ {"model_class":"PegasusForCausalLM","pipeline_tag":"text-generation"}
101
+ {"model_class":"MarianForCausalLM","pipeline_tag":"text-generation"}
102
+ {"model_class":"BlenderbotForCausalLM","pipeline_tag":"text-generation"}
103
+ {"model_class":"BlenderbotSmallForCausalLM","pipeline_tag":"text-generation"}
104
+ {"model_class":"MegatronBertForCausalLM","pipeline_tag":"text-generation"}
105
+ {"model_class":"Speech2Text2ForCausalLM","pipeline_tag":"text-generation"}
106
+ {"model_class":"SpeechEncoderDecoderModel","pipeline_tag":"automatic-speech-recognition"}
107
+ {"model_class":"Speech2TextForConditionalGeneration","pipeline_tag":"automatic-speech-recognition"}
108
+ {"model_class":"ViTForImageClassification","pipeline_tag":"image-classification"}
109
+ {"model_class":"DeiTForImageClassification","pipeline_tag":"image-classification"}
110
+ {"model_class":"DeiTForImageClassificationWithTeacher","pipeline_tag":"image-classification"}
111
+ {"model_class":"BeitForImageClassification","pipeline_tag":"image-classification"}
112
+ {"model_class":"SegformerForImageClassification","pipeline_tag":"image-classification"}
113
+ {"model_class":"DetrForSegmentation","pipeline_tag":"image-segmentation"}
114
+ {"model_class":"FNetForMaskedLM","pipeline_tag":"fill-mask"}
115
+ {"model_class":"RemBertForMaskedLM","pipeline_tag":"fill-mask"}
116
+ {"model_class":"RoFormerForMaskedLM","pipeline_tag":"fill-mask"}
117
+ {"model_class":"BigBirdForMaskedLM","pipeline_tag":"fill-mask"}
118
+ {"model_class":"Wav2Vec2ForMaskedLM","pipeline_tag":"fill-mask"}
119
+ {"model_class":"ConvBertForMaskedLM","pipeline_tag":"fill-mask"}
120
+ {"model_class":"LayoutLMForMaskedLM","pipeline_tag":"fill-mask"}
121
+ {"model_class":"DistilBertForMaskedLM","pipeline_tag":"fill-mask"}
122
+ {"model_class":"AlbertForMaskedLM","pipeline_tag":"fill-mask"}
123
+ {"model_class":"BartForConditionalGeneration","pipeline_tag":"fill-mask"}
124
+ {"model_class":"MBartForConditionalGeneration","pipeline_tag":"fill-mask"}
125
+ {"model_class":"CamembertForMaskedLM","pipeline_tag":"fill-mask"}
126
+ {"model_class":"XLMRobertaForMaskedLM","pipeline_tag":"fill-mask"}
127
+ {"model_class":"LongformerForMaskedLM","pipeline_tag":"fill-mask"}
128
+ {"model_class":"RobertaForMaskedLM","pipeline_tag":"fill-mask"}
129
+ {"model_class":"SqueezeBertForMaskedLM","pipeline_tag":"fill-mask"}
130
+ {"model_class":"BertForMaskedLM","pipeline_tag":"fill-mask"}
131
+ {"model_class":"MegatronBertForMaskedLM","pipeline_tag":"fill-mask"}
132
+ {"model_class":"MobileBertForMaskedLM","pipeline_tag":"fill-mask"}
133
+ {"model_class":"FlaubertWithLMHeadModel","pipeline_tag":"fill-mask"}
134
+ {"model_class":"XLMWithLMHeadModel","pipeline_tag":"fill-mask"}
135
+ {"model_class":"ElectraForMaskedLM","pipeline_tag":"fill-mask"}
136
+ {"model_class":"ReformerForMaskedLM","pipeline_tag":"fill-mask"}
137
+ {"model_class":"FunnelForMaskedLM","pipeline_tag":"fill-mask"}
138
+ {"model_class":"MPNetForMaskedLM","pipeline_tag":"fill-mask"}
139
+ {"model_class":"TapasForMaskedLM","pipeline_tag":"fill-mask"}
140
+ {"model_class":"DebertaForMaskedLM","pipeline_tag":"fill-mask"}
141
+ {"model_class":"DebertaV2ForMaskedLM","pipeline_tag":"fill-mask"}
142
+ {"model_class":"IBertForMaskedLM","pipeline_tag":"fill-mask"}
143
+ {"model_class":"DetrForObjectDetection","pipeline_tag":"object-detection"}
144
+ {"model_class":"FNetForQuestionAnswering","pipeline_tag":"question-answering"}
145
+ {"model_class":"LayoutLMv2ForQuestionAnswering","pipeline_tag":"question-answering"}
146
+ {"model_class":"RemBertForQuestionAnswering","pipeline_tag":"question-answering"}
147
+ {"model_class":"CanineForQuestionAnswering","pipeline_tag":"question-answering"}
148
+ {"model_class":"RoFormerForQuestionAnswering","pipeline_tag":"question-answering"}
149
+ {"model_class":"BigBirdPegasusForQuestionAnswering","pipeline_tag":"question-answering"}
150
+ {"model_class":"BigBirdForQuestionAnswering","pipeline_tag":"question-answering"}
151
+ {"model_class":"ConvBertForQuestionAnswering","pipeline_tag":"question-answering"}
152
+ {"model_class":"LEDForQuestionAnswering","pipeline_tag":"question-answering"}
153
+ {"model_class":"DistilBertForQuestionAnswering","pipeline_tag":"question-answering"}
154
+ {"model_class":"AlbertForQuestionAnswering","pipeline_tag":"question-answering"}
155
+ {"model_class":"CamembertForQuestionAnswering","pipeline_tag":"question-answering"}
156
+ {"model_class":"BartForQuestionAnswering","pipeline_tag":"question-answering"}
157
+ {"model_class":"MBartForQuestionAnswering","pipeline_tag":"question-answering"}
158
+ {"model_class":"LongformerForQuestionAnswering","pipeline_tag":"question-answering"}
159
+ {"model_class":"XLMRobertaForQuestionAnswering","pipeline_tag":"question-answering"}
160
+ {"model_class":"RobertaForQuestionAnswering","pipeline_tag":"question-answering"}
161
+ {"model_class":"SqueezeBertForQuestionAnswering","pipeline_tag":"question-answering"}
162
+ {"model_class":"BertForQuestionAnswering","pipeline_tag":"question-answering"}
163
+ {"model_class":"XLNetForQuestionAnsweringSimple","pipeline_tag":"question-answering"}
164
+ {"model_class":"FlaubertForQuestionAnsweringSimple","pipeline_tag":"question-answering"}
165
+ {"model_class":"MegatronBertForQuestionAnswering","pipeline_tag":"question-answering"}
166
+ {"model_class":"MobileBertForQuestionAnswering","pipeline_tag":"question-answering"}
167
+ {"model_class":"XLMForQuestionAnsweringSimple","pipeline_tag":"question-answering"}
168
+ {"model_class":"ElectraForQuestionAnswering","pipeline_tag":"question-answering"}
169
+ {"model_class":"ReformerForQuestionAnswering","pipeline_tag":"question-answering"}
170
+ {"model_class":"FunnelForQuestionAnswering","pipeline_tag":"question-answering"}
171
+ {"model_class":"LxmertForQuestionAnswering","pipeline_tag":"question-answering"}
172
+ {"model_class":"MPNetForQuestionAnswering","pipeline_tag":"question-answering"}
173
+ {"model_class":"DebertaForQuestionAnswering","pipeline_tag":"question-answering"}
174
+ {"model_class":"DebertaV2ForQuestionAnswering","pipeline_tag":"question-answering"}
175
+ {"model_class":"IBertForQuestionAnswering","pipeline_tag":"question-answering"}
176
+ {"model_class":"SplinterForQuestionAnswering","pipeline_tag":"question-answering"}
177
+ {"model_class":"BigBirdPegasusForConditionalGeneration","pipeline_tag":"text2text-generation"}
178
+ {"model_class":"M2M100ForConditionalGeneration","pipeline_tag":"text2text-generation"}
179
+ {"model_class":"LEDForConditionalGeneration","pipeline_tag":"text2text-generation"}
180
+ {"model_class":"BlenderbotSmallForConditionalGeneration","pipeline_tag":"text2text-generation"}
181
+ {"model_class":"MT5ForConditionalGeneration","pipeline_tag":"text2text-generation"}
182
+ {"model_class":"T5ForConditionalGeneration","pipeline_tag":"text2text-generation"}
183
+ {"model_class":"PegasusForConditionalGeneration","pipeline_tag":"text2text-generation"}
184
+ {"model_class":"MarianMTModel","pipeline_tag":"text2text-generation"}
185
+ {"model_class":"MBartForConditionalGeneration","pipeline_tag":"text2text-generation"}
186
+ {"model_class":"BlenderbotForConditionalGeneration","pipeline_tag":"text2text-generation"}
187
+ {"model_class":"BartForConditionalGeneration","pipeline_tag":"text2text-generation"}
188
+ {"model_class":"FSMTForConditionalGeneration","pipeline_tag":"text2text-generation"}
189
+ {"model_class":"EncoderDecoderModel","pipeline_tag":"text2text-generation"}
190
+ {"model_class":"XLMProphetNetForConditionalGeneration","pipeline_tag":"text2text-generation"}
191
+ {"model_class":"ProphetNetForConditionalGeneration","pipeline_tag":"text2text-generation"}
192
+ {"model_class":"FNetForSequenceClassification","pipeline_tag":"text-classification"}
193
+ {"model_class":"GPTJForSequenceClassification","pipeline_tag":"text-classification"}
194
+ {"model_class":"LayoutLMv2ForSequenceClassification","pipeline_tag":"text-classification"}
195
+ {"model_class":"RemBertForSequenceClassification","pipeline_tag":"text-classification"}
196
+ {"model_class":"CanineForSequenceClassification","pipeline_tag":"text-classification"}
197
+ {"model_class":"RoFormerForSequenceClassification","pipeline_tag":"text-classification"}
198
+ {"model_class":"BigBirdPegasusForSequenceClassification","pipeline_tag":"text-classification"}
199
+ {"model_class":"BigBirdForSequenceClassification","pipeline_tag":"text-classification"}
200
+ {"model_class":"ConvBertForSequenceClassification","pipeline_tag":"text-classification"}
201
+ {"model_class":"LEDForSequenceClassification","pipeline_tag":"text-classification"}
202
+ {"model_class":"DistilBertForSequenceClassification","pipeline_tag":"text-classification"}
203
+ {"model_class":"AlbertForSequenceClassification","pipeline_tag":"text-classification"}
204
+ {"model_class":"CamembertForSequenceClassification","pipeline_tag":"text-classification"}
205
+ {"model_class":"XLMRobertaForSequenceClassification","pipeline_tag":"text-classification"}
206
+ {"model_class":"MBartForSequenceClassification","pipeline_tag":"text-classification"}
207
+ {"model_class":"BartForSequenceClassification","pipeline_tag":"text-classification"}
208
+ {"model_class":"LongformerForSequenceClassification","pipeline_tag":"text-classification"}
209
+ {"model_class":"RobertaForSequenceClassification","pipeline_tag":"text-classification"}
210
+ {"model_class":"SqueezeBertForSequenceClassification","pipeline_tag":"text-classification"}
211
+ {"model_class":"LayoutLMForSequenceClassification","pipeline_tag":"text-classification"}
212
+ {"model_class":"BertForSequenceClassification","pipeline_tag":"text-classification"}
213
+ {"model_class":"XLNetForSequenceClassification","pipeline_tag":"text-classification"}
214
+ {"model_class":"MegatronBertForSequenceClassification","pipeline_tag":"text-classification"}
215
+ {"model_class":"MobileBertForSequenceClassification","pipeline_tag":"text-classification"}
216
+ {"model_class":"FlaubertForSequenceClassification","pipeline_tag":"text-classification"}
217
+ {"model_class":"XLMForSequenceClassification","pipeline_tag":"text-classification"}
218
+ {"model_class":"ElectraForSequenceClassification","pipeline_tag":"text-classification"}
219
+ {"model_class":"FunnelForSequenceClassification","pipeline_tag":"text-classification"}
220
+ {"model_class":"DebertaForSequenceClassification","pipeline_tag":"text-classification"}
221
+ {"model_class":"DebertaV2ForSequenceClassification","pipeline_tag":"text-classification"}
222
+ {"model_class":"GPT2ForSequenceClassification","pipeline_tag":"text-classification"}
223
+ {"model_class":"GPTNeoForSequenceClassification","pipeline_tag":"text-classification"}
224
+ {"model_class":"OpenAIGPTForSequenceClassification","pipeline_tag":"text-classification"}
225
+ {"model_class":"ReformerForSequenceClassification","pipeline_tag":"text-classification"}
226
+ {"model_class":"CTRLForSequenceClassification","pipeline_tag":"text-classification"}
227
+ {"model_class":"TransfoXLForSequenceClassification","pipeline_tag":"text-classification"}
228
+ {"model_class":"MPNetForSequenceClassification","pipeline_tag":"text-classification"}
229
+ {"model_class":"TapasForSequenceClassification","pipeline_tag":"text-classification"}
230
+ {"model_class":"IBertForSequenceClassification","pipeline_tag":"text-classification"}
231
+ {"model_class":"TapasForQuestionAnswering","pipeline_tag":"table-question-answering"}
232
+ {"model_class":"FNetForTokenClassification","pipeline_tag":"token-classification"}
233
+ {"model_class":"LayoutLMv2ForTokenClassification","pipeline_tag":"token-classification"}
234
+ {"model_class":"RemBertForTokenClassification","pipeline_tag":"token-classification"}
235
+ {"model_class":"CanineForTokenClassification","pipeline_tag":"token-classification"}
236
+ {"model_class":"RoFormerForTokenClassification","pipeline_tag":"token-classification"}
237
+ {"model_class":"BigBirdForTokenClassification","pipeline_tag":"token-classification"}
238
+ {"model_class":"ConvBertForTokenClassification","pipeline_tag":"token-classification"}
239
+ {"model_class":"LayoutLMForTokenClassification","pipeline_tag":"token-classification"}
240
+ {"model_class":"DistilBertForTokenClassification","pipeline_tag":"token-classification"}
241
+ {"model_class":"CamembertForTokenClassification","pipeline_tag":"token-classification"}
242
+ {"model_class":"FlaubertForTokenClassification","pipeline_tag":"token-classification"}
243
+ {"model_class":"XLMForTokenClassification","pipeline_tag":"token-classification"}
244
+ {"model_class":"XLMRobertaForTokenClassification","pipeline_tag":"token-classification"}
245
+ {"model_class":"LongformerForTokenClassification","pipeline_tag":"token-classification"}
246
+ {"model_class":"RobertaForTokenClassification","pipeline_tag":"token-classification"}
247
+ {"model_class":"SqueezeBertForTokenClassification","pipeline_tag":"token-classification"}
248
+ {"model_class":"BertForTokenClassification","pipeline_tag":"token-classification"}
249
+ {"model_class":"MegatronBertForTokenClassification","pipeline_tag":"token-classification"}
250
+ {"model_class":"MobileBertForTokenClassification","pipeline_tag":"token-classification"}
251
+ {"model_class":"XLNetForTokenClassification","pipeline_tag":"token-classification"}
252
+ {"model_class":"AlbertForTokenClassification","pipeline_tag":"token-classification"}
253
+ {"model_class":"ElectraForTokenClassification","pipeline_tag":"token-classification"}
254
+ {"model_class":"FunnelForTokenClassification","pipeline_tag":"token-classification"}
255
+ {"model_class":"MPNetForTokenClassification","pipeline_tag":"token-classification"}
256
+ {"model_class":"DebertaForTokenClassification","pipeline_tag":"token-classification"}
257
+ {"model_class":"DebertaV2ForTokenClassification","pipeline_tag":"token-classification"}
258
+ {"model_class":"GPT2ForTokenClassification","pipeline_tag":"token-classification"}
259
+ {"model_class":"IBertForTokenClassification","pipeline_tag":"token-classification"}