Update README.md

README.md

@@ -35,7 +35,7 @@ Welcome to **A3ON-1B**, the enhanced version of the A3ON AI assistant! With **1.
 | **Architecture** | Transformer-based neural network |
 | **Model Type** | Causal language model |
 | **Parameters** | 1.1 Billion (1,137,207,296) |
-| **Vocabulary Size** | `{len(tokenizer):,}` tokens |
+| **Vocabulary Size** | 49,152 tokens |
 | **Context Length** | Up to 32,768 tokens |
 | **Precision** | FP32/FP16 support |
 
@@ -52,13 +52,16 @@ Welcome to **A3ON-1B**, the enhanced version of the A3ON AI assistant! With **1.
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-tokenizer = AutoTokenizer.from_pretrained("{repo_name}")
-model = AutoModelForCausalLM.from_pretrained("{repo_name}")
+# Load the tokenizer and model
+tokenizer = AutoTokenizer.from_pretrained("kaiiddo/A3ON-1B")
+model = AutoModelForCausalLM.from_pretrained("kaiiddo/A3ON-1B")
 
 # Generate text
 inputs = tokenizer("Hello, how can I help you today?", return_tensors="pt")
 outputs = model.generate(**inputs, max_length=500)
 response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Print the response
 print(response)
 ```