Update README.md

README.md

@@ -49,6 +49,17 @@ Unlike typical reinforcement learning-based improvements, **Supervised Fine-Tuni
 # Follow the below structure to call the model using unsloth:
 ```python
 from unsloth import FastLanguageModel
+import torch
+max_seq_length = 2048 # Choose any! We auto support RoPE Scaling internally!
+dtype = None # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+
+load_in_4bit = True # Use 4bit quantization to reduce memory usage. Can be False.
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name = "saishshinde15/TBH.AI_Vortex",
+    max_seq_length = max_seq_length,
+    dtype = dtype,
+    load_in_4bit = load_in_4bit
+)
+
 FastLanguageModel.for_inference(model)
 instruction = """You are an advanced AI assistant. Provide answers in a clear, step-by-step manner."""""