Create README.md

README.md

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+---
+# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
+# Doc / guide: https://huggingface.co/docs/hub/model-cards
+{}
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+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).
+
+## Model Details
+
+### Model Description
+
+Baseline image classifier built with AutoGluon
+
+- **Developed by:** Smriti Chopra
+- **Model type:** CNN backbone via AutoGluon Multimodal
+- **License:** MIT
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+Supervised image classification (single-label). Trains/infers from a DataFrame with columns:
+
+- image → path or PIL-loadable image
+
+- label → class name or id
+
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+Multi-label or detection/segmentation without adapting the pipeline
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+Dataset bias: model mirrors class/collection biases; OOD images may degrade
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->