Upload folder using huggingface_hub

README.md

@@ -9,6 +9,12 @@ tags:
   - music
 datasets:
   - smgriffin/modern-pop-lyrics
+pipeline_tag: text-generation
+widget:
+  - text: "Artist: Taylor Swift\nLyrics:"
+  - text: "Artist: Beyonce\nLyrics:"
+  - text: "Artist: Drake\nLyrics:" 
+inference: true
 ---
 
 # GPT-Neo 2.7B LoRA Fine-tuned for Lyrics Generation
@@ -44,6 +50,39 @@ This happens transparently - you don't need to handle the base model separately.
 
 ## How to Use
 
+### Using the Inference API
+
+The easiest way to try this model is through the Hugging Face Inference API. You can use:
+
+1. **The web interface**: Try the examples in the widget at the top of this page
+2. **API calls**: Use the Inference API with your HF token
+
+```python
+import requests
+
+API_URL = "https://api-inference.huggingface.co/models/jacob-c/gptneo-2.7Bloratunning"
+headers = {"Authorization": "Bearer YOUR_HF_TOKEN"}
+
+def query(payload):
+    response = requests.post(API_URL, headers=headers, json=payload)
+    return response.json()
+
+# Example: Generate lyrics for Taylor Swift
+output = query({
+    "inputs": "Artist: Taylor Swift\nLyrics:",
+    "parameters": {
+        "max_length": 200,
+        "temperature": 0.7,
+        "top_p": 0.9,
+        "top_k": 50
+    }
+})
+
+print(output[0]["generated_text"])
+```
+
+### Using the Model Locally
+
 You can use this model to generate lyrics in the style of different artists. Here's a simple example:
 
 ```python