Add Cloud-Pre Model Card

README.md

@@ -1,16 +1,21 @@
 ---
-license: mit
-language:
-- en
-metrics:
-- mae
-base_model:
-- google/timesfm-2.0-500m-pytorch
-library_name: transformers
 tags:
-- timesfm
+- time-series-forecasting
 - cloud-computing
-- resource-forecasting
-- anomaly-detection
-- finance
----
+- timesfm
+- resource-prediction
+---
+# 🌩️ Cloud-Pre (500M)
+
+**Cloud-Pre** is a specialized time-series foundation model designed for predicting cloud environment resource usage (CPU, RAM, Network). 
+
+It is fine-tuned based on Google's highly advanced `google/timesfm-2.0-500m-pytorch`.
+
+## Model Details
+- **Architecture:** Decoder-Only Transformer (TimesFM 2.0 Base)
+- **Parameters:** 500 Million
+- **Fine-tuning Objective:** Cloud CPU/Resource peak and anomaly forecasting to aid with Predictive Auto-scaling.
+- **Developer:** Assem Sabry
+
+## How to find the training code?
+The complete open-source training pipeline and data engineering scripts can be found on my GitHub Repository.