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zeroMN
/
auto

Question Answering
Transformers
English
Chinese
multimodal
vqa
text
audio
Eval Results
Inference Endpoints
Model card Files Community
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Update README.md

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  1. README.md +43 -47
README.md CHANGED
@@ -3,7 +3,7 @@ language:
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  - en
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  - zh
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  license: apache-2.0
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- library_name: transformers
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  tags:
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  - multimodal
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  - vqa
@@ -28,53 +28,49 @@ model-index:
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  metrics:
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  - type: accuracy
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  value: 85
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- pipeline_tag: any-to-any
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-
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  model_index:
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- - name: AutoModel
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- results:
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- - task:
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- type: vqa # 支持视觉问答任务
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- name: Visual Question Answering
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- dataset:
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- type: synthetdataset
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- name: Synthetic Multimodal Dataset
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- config: default
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- split: test
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- revision: main
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- metrics:
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- - type: accuracy
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- value: 85.0
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- name: VQA Accuracy
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- - task:
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- type: automatspeerecognition
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- name: Automatic Speech Recognition
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- dataset:
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- type: synthetdataset
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- name: Synthetic Multimodal Dataset
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- config: default
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- split: test
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- revision: main
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- metrics:
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- - type: wer
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- value: 15.3
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- name: Test WER
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- - task:
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- type: captioning
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- name: Image Captioning
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- dataset:
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- type: synthetdataset
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- name: Synthetic Multimodal Dataset
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- config: default
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- split: test
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- revision: main
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- metrics:
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- - type: bleu
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- value: 27.5
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- name: BL4
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-
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-
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-
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  ---
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  ### **3. 提供可下载文件**
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  确保以下文件已上传到仓库，便于用户下载和运行：
 
3
  - en
4
  - zh
5
  license: apache-2.0
6
+ library_name: transformers
7
  tags:
8
  - multimodal
9
  - vqa
 
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  metrics:
29
  - type: accuracy
30
  value: 85
31
+ pipeline_tag: question-answering
 
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  model_index:
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+ - name: AutoModel
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+ results:
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+ - task:
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+ type: vqa
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+ name: Visual Question Answering
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+ dataset:
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+ type: synthetdataset
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+ name: Synthetic Multimodal Dataset
41
+ config: default
42
+ split: test
43
+ revision: main
44
+ metrics:
45
+ - type: accuracy
46
+ value: 85
47
+ name: VQA Accuracy
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+ - task:
49
+ type: automatspeerecognition
50
+ name: Automatic Speech Recognition
51
+ dataset:
52
+ type: synthetdataset
53
+ name: Synthetic Multimodal Dataset
54
+ config: default
55
+ split: test
56
+ revision: main
57
+ metrics:
58
+ - type: wer
59
+ value: 15.3
60
+ name: Test WER
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+ - task:
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+ type: captioning
63
+ name: Image Captioning
64
+ dataset:
65
+ type: synthetdataset
66
+ name: Synthetic Multimodal Dataset
67
+ config: default
68
+ split: test
69
+ revision: main
70
+ metrics:
71
+ - type: bleu
72
+ value: 27.5
73
+ name: BL4
 
 
 
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  ---
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  ### **3. 提供可下载文件**
76
  确保以下文件已上传到仓库，便于用户下载和运行：