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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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### **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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### **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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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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### Direct Use |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
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[More Information Needed] |
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### Downstream Use [optional] |
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
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[More Information Needed] |
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### Out-of-Scope Use |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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[More Information Needed] |
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### Recommendations |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
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## How to Get Started with the Model |
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Use the code below to get started with the model. |
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[More Information Needed] |
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## Training Details |
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### Training Data |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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[More Information Needed] |
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### Training Procedure |
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
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#### Preprocessing [optional] |
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[More Information Needed] |
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#### Training Hyperparameters |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
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#### Speeds, Sizes, Times [optional] |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
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[More Information Needed] |
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## Evaluation |
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<!-- This section describes the evaluation protocols and provides the results. --> |
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### Testing Data, Factors & Metrics |
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#### Testing Data |
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<!-- This should link to a Dataset Card if possible. --> |
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[More Information Needed] |
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#### Factors |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
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[More Information Needed] |
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#### Metrics |
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<!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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[More Information Needed] |
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### Results |
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[More Information Needed] |
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#### Summary |
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## Model Examination [optional] |
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<!-- Relevant interpretability work for the model goes here --> |
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[More Information Needed] |
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## Environmental Impact |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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- **Hardware Type:** [More Information Needed] |
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- **Hours used:** [More Information Needed] |
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- **Cloud Provider:** [More Information Needed] |
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- **Compute Region:** [More Information Needed] |
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- **Carbon Emitted:** [More Information Needed] |
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## Technical Specifications [optional] |
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### Model Architecture and Objective |
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[More Information Needed] |
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### Compute Infrastructure |
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[More Information Needed] |
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#### Hardware |
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[More Information Needed] |
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#### Software |
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[More Information Needed] |
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## Citation [optional] |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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## Glossary [optional] |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
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[More Information Needed] |
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## More Information [optional] |
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[More Information Needed] |
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## Model Card Authors [optional] |
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[More Information Needed] |
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## Model Card Contact |
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[More Information Needed] |
