| --- |
| language: |
| - en |
| - zh |
| license: apache-2.0 |
| library_name: transformers |
| tags: |
| - multimodal |
| - vqa |
| - text |
| - audio |
| datasets: |
| - synthetic-dataset |
| - zeroMN/nlp_corpus_zh |
| - zeroMN/hanlp_date-zh |
| metrics: |
| - accuracy |
| - bleu |
| - wer |
| model-index: |
| - name: AutoModel |
| results: |
| - task: |
| type: vqa |
| name: Visual Question Answering |
| dataset: |
| type: synthetic-dataset |
| name: Synthetic Multimodal Dataset |
| split: test |
| metrics: |
| - type: accuracy |
| value: 85 |
| pipeline_tag: question-answering |
| 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 |
| --- |
| ### **3. 提供可下载文件** |
| 确保以下文件已上传到仓库，便于用户下载和运行： |
| - **模型权重文件**（如 `AutoModel.pth`）。 |
| - **配置文件**（如 `config.json`）。 |
| - **依赖文件**（如 `requirements.txt`）。 |
| - **运行脚本**（如 `run_model.py`）。 |
| -- |
| 用户可以直接下载这些文件并运行模型。 |
| |
| --- |
| |
| ### **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** |
| - **快速测试**：使用 Hugging Face `Spaces` 创建在线演示。 |
| - **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。 |
| |
| 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。 |
| |
| ## Uses |
| |
| |
| ### Direct Use |
| <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
| |
| [More Information Needed] |
| |
| ### Downstream Use [optional] |
| |
| <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
| |
| [More Information Needed] |
| |
| ### Out-of-Scope Use |
| |
| <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
| |
| [More Information Needed] |
| |
| ## Bias, Risks, and Limitations |
| |
| <!-- This section is meant to convey both technical and sociotechnical limitations. --> |
| |
| [More Information Needed] |
| |
| ### Recommendations |
| |
| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
| |
| Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
| |
| ## How to Get Started with the Model |
| |
| Use the code below to get started with the model. |
| |
| [More Information Needed] |
| |
| ## Training Details |
| |
| ### Training Data |
| |
| <!-- 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. --> |
| |
| [More Information Needed] |
| |
| ### Training Procedure |
| |
| <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
| |
| #### Preprocessing [optional] |
| |
| [More Information Needed] |
| |
| |
| #### Training Hyperparameters |
| |
| - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
| |
| #### Speeds, Sizes, Times [optional] |
| |
| <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
| |
| [More Information Needed] |
| |
| ## Evaluation |
| |
| <!-- This section describes the evaluation protocols and provides the results. --> |
| |
| ### Testing Data, Factors & Metrics |
| |
| #### Testing Data |
| |
| <!-- This should link to a Dataset Card if possible. --> |
| |
| [More Information Needed] |
| |
| #### Factors |
| |
| <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
| |
| [More Information Needed] |
| |
| #### Metrics |
| |
| <!-- These are the evaluation metrics being used, ideally with a description of why. --> |
| |
| [More Information Needed] |
| |
| ### Results |
| |
| [More Information Needed] |
| |
| #### Summary |
| |
| |
| |
| ## Model Examination [optional] |
| |
| <!-- Relevant interpretability work for the model goes here --> |
| |
| [More Information Needed] |
| |
| ## Environmental Impact |
| |
| <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
| |
| 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). |
| |
| - **Hardware Type:** [More Information Needed] |
| - **Hours used:** [More Information Needed] |
| - **Cloud Provider:** [More Information Needed] |
| - **Compute Region:** [More Information Needed] |
| - **Carbon Emitted:** [More Information Needed] |
| |
| ## Technical Specifications [optional] |
| |
| ### Model Architecture and Objective |
| |
| [More Information Needed] |
| |
| ### Compute Infrastructure |
| |
| [More Information Needed] |
| |
| #### Hardware |
| |
| [More Information Needed] |
| |
| #### Software |
| |
| [More Information Needed] |
| |
| ## Citation [optional] |
| |
| <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
| |
| **BibTeX:** |
| |
| [More Information Needed] |
| |
| **APA:** |
| |
| [More Information Needed] |
| |
| ## Glossary [optional] |
| |
| <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
| |
| [More Information Needed] |
| |
| ## More Information [optional] |
| |
| [More Information Needed] |
| |
| ## Model Card Authors [optional] |
| |
| [More Information Needed] |
| |
| ## Model Card Contact |
| |
| [More Information Needed] |
