[add]: carbon emission info for the model card

README.md

@@ -5,7 +5,7 @@ base_model: tiiuae/falcon-7b-instruct
 
 # Model Card for the Query Parser LLM using Falcon-7B-Instruct 
 
-[![version](https://img.shields.io/badge/version-0.0.1-red.svg)]() [![Python 3.9](https://img.shields.io/badge/python-3.9+-blue.svg)](https://www.python.org/downloads/release/python-390/) ![CUDA 11.7.1](https://img.shields.io/badge/CUDA-11.7.1-green.svg)
+[![version](https://img.shields.io/badge/version-0.0.1-red.svg)]()[![Python 3.9](https://img.shields.io/badge/python-3.9+-blue.svg)](https://www.python.org/downloads/release/python-390/)![CUDA 11.7.1](https://img.shields.io/badge/CUDA-11.7.1-green.svg)
 
 EmbeddingStudio is the [open-source framework](https://github.com/EulerSearch/embedding_studio/tree/main), that allows you transform a joint "Embedding Model + Vector DB" into 
 a full-cycle search engine: collect clickstream -> improve search experience-> adapt embedding model and repeat out of the box.
@@ -285,11 +285,11 @@ Use the code below to get started with the model.
 
 Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
 
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
+- **Hardware Type:** NVIDIA Tesla V100
+- **Hours used:** 72
+- **Cloud Provider:** Google Cloud
+- **Compute Region:** us-west-1
+- **Carbon Emitted:** 6.48
 
 ## Technical Specifications [optional]