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README.md

@@ -23,10 +23,16 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 model = AutoModelForCausalLM.from_pretrained("bonur/smollm-turkish-base")
 tokenizer = AutoTokenizer.from_pretrained("bonur/smollm-turkish-base")
 
-# Example usage
 text = "Your prompt here"
-inputs = tokenizer(text, return_tensors="pt")
-outputs = model.generate(inputs.input_ids, max_new_tokens=100)
+inputs = tokenizer(text, return_tensors="pt", padding=True)
+outputs = model.generate(
+    inputs.input_ids,
+    attention_mask=inputs.attention_mask,
+    max_new_tokens=100,
+    do_sample=True,
+    temperature=0.7,
+    top_p=0.9
+)
 result = tokenizer.decode(outputs[0], skip_special_tokens=True)
 print(result)
 ```

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e604212afb10efdd6104d9bd780bfe46ad59ee8e4f7853fa755da5935f1bac20
-size 544685154
+oid sha256:049c26b844b79121ddd8379f7f69194e63f6fbf6aa007eeac0c66f17eebb8893
+size 888