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- license: mit
 
 
 
 
 
 
 
 
 
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  datasets:
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- - amphora/QwQ-LongCoT-130K
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- - fka/awesome-chatgpt-prompts
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- - gopipasala/fka-awesome-chatgpt-prompts
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  metrics:
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  - accuracy
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- - bertscore
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  - bleu
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- - bleurt
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- - charcut_mt
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- - code_eval
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- # Model Card for Model ID
 
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- <!-- Provide a quick summary of what the model is/does. -->
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- This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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-
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- ## Model Details
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-
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- ### Model Description
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-
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- <!-- Provide a longer summary of what this model is. -->
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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- ### Model Sources [optional]
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- <!-- Provide the basic links for the model. -->
 
 
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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  ## Uses
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  ---
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+ 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: pytorch
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+ tags:
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+ - multimodal
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+ - vqa
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+ - text
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+ - audio
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  datasets:
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+ - synthetic-dataset
 
 
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  metrics:
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  - accuracy
 
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  - bleu
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+ - wer
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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: synthetic-dataset
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+ name: Synthetic Multimodal Dataset
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+ split: test
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+ metrics:
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+ - type: accuracy
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+ value: 85
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  ---
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+ # Model Card for AutoModel
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+ AutoModel 是一个多模态模型,支持图像、文本和语音输入...
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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:
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+ - **模型权重文件**(如 `AutoModel.pth`)。
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+ - **配置文件**(如 `config.json`)。
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+ - **依赖文件**(如 `requirements.txt`)。
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+ - **运行脚本**(如 `run_model.py`)。
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+ widget:
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+ - text: "Jens Peter Hansen kommer fra Danmark"
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+ 用户可以直接下载这些文件并运行模型。
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+ ---
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+ ### **4. 自动运行模型的限制**
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+ 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。
 
 
 
 
 
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+ ---
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+ ### **推荐方法**
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+ - **快速测试**:使用 Hugging Face `Spaces` 创建在线演示。
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+ - **高级使用**:在模型卡中提供完整的运行说明,允许用户本地运行模型。
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+ 通过这些方式,您可以让模型仓库既支持在线运行,也便于用户离线部署。
 
 
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  ## Uses
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