Update README.md

README.md

@@ -21,17 +21,6 @@ datasets:
 This model is a fine-tuned version of [unsloth/qwen3-0.6b-unsloth-bnb-4bit](https://huggingface.co/unsloth/qwen3-0.6b-unsloth-bnb-4bit).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
-## Quick start
-
-```python
-from transformers import pipeline
-
-question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
-generator = pipeline("text-generation", model="None", device="cuda")
-output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
-print(output["generated_text"])
-```
-
 ## Training procedure
 
  
@@ -40,7 +29,21 @@ print(output["generated_text"])
 This model was trained with SFT.
 
 
-## Inference Usage
+## Usage
+
+### HuggingFace Authentication
+```python
+import os
+from huggingface_hub import login
+
+# Set the Hugging Face API token
+os.environ["HUGGINGFACEHUB_API_TOKEN"] = "<your_huggingface_token>"
+
+# # Initialize API
+login(os.environ.get("HUGGINGFACEHUB_API_TOKEN"))
+```
+
+### Inference
 
 ```python
 import torch