Update README.md

make the model card

README.md

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----
-license: mit
----
+---
+license: mit
+language:
+- en
+base_model: ibm-granite/granite-timeseries-patchtst
+tags:
+- time-series
+- forecasting
+- patchtst
+- electricity
+- eirgrid
+- energy
+metrics:
+- mse
+- mae
+library_name: transformers
+pipeline_tag: time-series-forecasting
+---
+# PatchTST EirGrid Forecaster ⚡
+
+This is a **PatchTST** model fine-tuned on **EirGrid (Irish Grid) System Data** to forecast electricity demand.
+
+## Model Details
+- **Architecture:** PatchTST (Transformer-based Time Series)
+- **Base Model:** `ibm-granite/granite-timeseries-patchtst`
+- **Task:** Long-term Forecasting (96-hour horizon)
+- **Input:** 512 hours of historical load data.
+- **Output:** 96 hours of future load forecast.
+
+## Usage
+```python
+from transformers import PatchTSTForPrediction
+
+# Load the model
+model = PatchTSTForPrediction.from_pretrained("Priyansu19/patchtst-eirgrid-forecaster")
+
+# (Add your inference code example here if you want)