Add model card, link to paper and code

README.md

@@ -1,3 +1,41 @@
 ---
 license: apache-2.0
+library_name: transformers
+pipeline_tag: time-series-forecasting
 ---
+
+# TempoWAVE
+
+This repository contains the model checkpoint for **TempoWAVE**, introduced in the paper [Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting](https://huggingface.co/papers/2606.26487).
+
+TempoWAVE gives an LLM a numerically grounded digit interface. Each decimal digit is routed through one of ten dedicated tokenizer tokens and initialized from a multi-wavelet, multi-scale codebook. Text, signs, decimal points, and separators continue to use the base model's standard embeddings.
+
+## Paper Method Overview
+
+For a fixed-precision value such as `-0.5000`, the repository renders each digit as an individual token:
+
+```text
+-<|digit_0|>.<|digit_5|><|digit_0|><|digit_0|><|digit_0|>
+```
+
+For each digit `d` in `{0,...,9}`, TempoWAVE:
+1. Maps `d` to `d / 9` on a fixed grid;
+2. Samples each scaled mother wavelet at the digit's impulse location;
+3. Concatenates coefficients across wavelets and scales;
+4. Maps that vector to the LLM embedding dimension; and
+5. Replaces only the corresponding digit-token embedding row.
+
+## Resources
+
+- **Paper:** [Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting](https://huggingface.co/papers/2606.26487)
+- **GitHub Repository:** [DC-research/TempoWAVE](https://github.com/DC-research/TempoWAVE)
+
+## Citation
+
+```bibtex
+@article{tempowave2026,
+  title={Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting},
+  journal={arXiv preprint arXiv:2606.26487},
+  year={2026}
+}
+```