Image Classification
PyTorch
few-shot-learning
parameter-efficient
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docs: add datasets metadata and Space demo links to Model Card

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  1. README.md +19 -6
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@@ -3,16 +3,20 @@ license: other
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  license_name: arxiv-perpetual-non-exclusive
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  pipeline_tag: image-classification
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  tags:
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- - few-shot-learning
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- - image-classification
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- - parameter-efficient
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- - pytorch
 
 
 
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  ---
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  # ALPINE: Adaptive Localization for Parameter- and Sample-Efficient Few-Shot Learning
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  [![arXiv](https://img.shields.io/badge/arXiv-2609.22323-b31b1b.svg)](https://arxiv.org/abs/2609.22323)
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  [![GitHub](https://img.shields.io/badge/GitHub-alpine--fewshot-blue.svg)](https://github.com/NeerajYadav-coder/alpine-fewshot)
 
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  [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
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  Official PyTorch checkpoints and reference architecture implementation for the paper:
@@ -20,7 +24,8 @@ Official PyTorch checkpoints and reference architecture implementation for the p
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  > *Neeraj Yadav (Independent Researcher, Uttar Pradesh, India)*
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  > **ORCID iD**: [0009-0000-7847-0588](https://orcid.org/0009-0000-7847-0588)
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  > **arXiv Preprint**: [arXiv:2609.22323](https://arxiv.org/abs/2609.22323) | [PDF](https://arxiv.org/pdf/2609.22323)
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- > **GitHub Archive**: [https://github.com/NeerajYadav-coder/alpine-fewshot](https://github.com/NeerajYadav-coder/alpine-fewshot)
 
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  ---
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@@ -136,6 +141,13 @@ python3 inference_example.py
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  ---
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  ## πŸ”— Full Reproducibility Archive
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  For the complete multi-seed reproducibility archive containing:
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  ---
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  ## πŸ“„ License
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- Checkpoints and code are released under the **MIT License**. Preprints and documentation are licensed under **arXiv perpetual non-exclusive license**.
 
 
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  license_name: arxiv-perpetual-non-exclusive
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  pipeline_tag: image-classification
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  tags:
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+ - few-shot-learning
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+ - image-classification
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+ - parameter-efficient
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+ - pytorch
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+ datasets:
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+ - cifar-fs
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+ - mini-imagenet
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  ---
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  # ALPINE: Adaptive Localization for Parameter- and Sample-Efficient Few-Shot Learning
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  [![arXiv](https://img.shields.io/badge/arXiv-2609.22323-b31b1b.svg)](https://arxiv.org/abs/2609.22323)
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  [![GitHub](https://img.shields.io/badge/GitHub-alpine--fewshot-blue.svg)](https://github.com/NeerajYadav-coder/alpine-fewshot)
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+ [![Hugging Face Space](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Demo%20Space-blue.svg)](https://huggingface.co/spaces/NJ50/alpine-fewshot)
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  [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
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  Official PyTorch checkpoints and reference architecture implementation for the paper:
 
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  > *Neeraj Yadav (Independent Researcher, Uttar Pradesh, India)*
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  > **ORCID iD**: [0009-0000-7847-0588](https://orcid.org/0009-0000-7847-0588)
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  > **arXiv Preprint**: [arXiv:2609.22323](https://arxiv.org/abs/2609.22323) | [PDF](https://arxiv.org/pdf/2609.22323)
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+ > **GitHub Archive**: [https://github.com/NeerajYadav-coder/alpine-fewshot](https://github.com/NeerajYadav-coder/alpine-fewshot)
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+ > **Interactive Demo Space**: [https://huggingface.co/spaces/NJ50/alpine-fewshot](https://huggingface.co/spaces/NJ50/alpine-fewshot)
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  ---
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  ---
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+ ## πŸ”οΈ Interactive Online Demo
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+
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+ Try the interactive browser visualization of the adaptive patch locator in real-time on Hugging Face Spaces:
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+ πŸ‘‰ **[Hugging Face Space: NJ50/alpine-fewshot](https://huggingface.co/spaces/NJ50/alpine-fewshot)**
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+
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+ ---
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+
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  ## πŸ”— Full Reproducibility Archive
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  For the complete multi-seed reproducibility archive containing:
 
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  ---
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  ## πŸ“„ License
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+ Checkpoints and code are released under the **MIT License**. Preprints and documentation are licensed under **arXiv perpetual non-exclusive license**.
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+