transformers multimodal vqa text audio question-answering en zh dataset:synthetic-dataset dataset:zeroMN/nlp_corpus_zh dataset:zeroMN/hanlp_date-zh arxiv:1910.09700 license:apache-2.0 model-index endpoints_compatible region:us
---
datasets:
- synthetic-dataset
- zeroMN/nlp_corpus_zh
- zeroMN/hanlp_date-zh
language:
- en
- zh
library_name: transformers
license: apache-2.0
metrics:
- accuracy
- bleu
- wer
pipeline_tag: question-answering
tags:
- multimodal
- vqa
- text
- audio
model_index:
- name: AutoModel
  results:
  - task:
      type: vqa
      name: Visual Question Answering
    dataset:
      type: synthetdataset
      name: Synthetic Multimodal Dataset
      config: default
      split: test
      revision: main
    metrics:
    - type: accuracy
      value: 85
      name: VQA Accuracy
  - task:
      type: automatspeerecognition
      name: Automatic Speech Recognition
    dataset:
      type: synthetdataset
      name: Synthetic Multimodal Dataset
      config: default
      split: test
      revision: main
    metrics:
    - type: wer
      value: 15.3
      name: Test WER
  - task:
      type: captioning
      name: Image Captioning
    dataset:
      type: synthetdataset
      name: Synthetic Multimodal Dataset
      config: default
      split: test
      revision: main
    metrics:
    - type: bleu
      value: 27.5
      name: BL4
model-index:
- name: AutoModel
  results:
  - task:
      type: vqa
      name: Visual Question Answering
    dataset:
      name: Synthetic Multimodal Dataset
      type: synthetic-dataset
      split: test
    metrics:
    - type: accuracy
      value: 85
---
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---

### **4. 自动运行模型的限制**
Hugging Face Hub 本身不能自动运行上传的模型，但通过 `Spaces` 提供的接口可以解决这一问题。`Spaces` 能够运行托管的推理服务，让用户无需本地配置即可测试模型。

---

### **推荐方法**
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