Added readme template

README.md

@@ -1,9 +1,47 @@
 ---
-tags:
-- pytorch_model_hub_mixin
-- model_hub_mixin
+license: mit
+datasets:
+- imagenet1k
+metrics:
+- accuracy
 ---
+# VGG-like Kolmogorov-Arnold Convolutional network with Gram polynomials
 
-This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
-- Library: [More Information Needed]
-- Docs: [More Information Needed]
+This model is a convolutional version of Kolmogorov-Arnold Network, originally presented in [1, 2], with architecture inspired by VGG11 model. Gram version of KAN originally presented in [3].
+
+## Model description
+
+## Intended uses & limitations
+
+### How to use
+
+```python
+
+```
+
+## Training data
+
+## Training procedure
+
+## Evaluation results
+
+### BibTeX entry and citation info
+
+If you use this project in your research or wish to refer to the baseline results, please use the following BibTeX entry.
+
+```bibtex
+@misc{torch-conv-kan,
+  author = {Ivan Drokin},
+  title = {Torch Conv KAN},
+  year = {2024},
+  publisher = {GitHub},
+  journal = {GitHub repository},
+  howpublished = {\url{https://github.com/IvanDrokin/torch-conv-kan}}
+}
+```
+
+## References
+
+- [1] Ziming Liu et al., "KAN: Kolmogorov-Arnold Networks", 2024, arXiv. https://arxiv.org/abs/2404.19756
+- [2] https://github.com/KindXiaoming/pykan
+- [3] https://github.com/Khochawongwat/GRAMKAN