Updated README.md

README.md

@@ -18,6 +18,63 @@ language:
 - **License:** apache-2.0
 - **Finetuned from model :** unsloth/phi-4-unsloth-bnb-4bit
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+This phi model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+## How to Use the Model for Inferencing
+
+You can use the model for inferencing via Hugging Face's API by following the steps below:
+
+### 1. Install Required Libraries
+
+Ensure that you have the `requests` library installed:
+
+```bash
+pip install requests
+
+
+```
+## Steps to use the model for inferencing using Hugging Face API
+
+import requests
+
+# API URL for the model hosted on Hugging Face
+API_URL = "https://api-inference.huggingface.co/models/Ishika08/phi-4_fine-tuned_mdl"
+
+# Set up your Hugging Face API token
+HEADERS = {"Authorization": f"Bearer token_id"}  
+
+# The input you want to pass to the model
+payload = {
+    "inputs": "What is the capital of France? Tell me some of the tourist places in bullet points."
+}
+
+# Make the request to the API
+response = requests.post(API_URL, headers=HEADERS, json=payload)
+
+# Print the response from the model
+print(response.json())  # Get the response output
+
+# OUTPUT
+{
+    "generated_text": "Paris is the capital of France. Some of the famous tourist places include:\n- Eiffel Tower\n- Louvre Museum\n- Notre-Dame Cathedral\n- Sacré-Cœur Basilica"
+}
+
+
+## Steps to use model using InferenceClient library from huggingface_hub
+
+
+from huggingface_hub import InferenceClient
+
+# Initialize the client with model name and Hugging Face token
+client = InferenceClient(model="Ishika08/phi-4_fine-tuned_mdl", token=""")
+
+# Perform inference (text generation in this case)
+response = client.text_generation("What is the capital of France? Tell me about Eiffel Tower history in bullet points.")
+
+# Print the response from the model
+print(response)
+
+
+
 
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)