Update README.md

README.md

@@ -20,6 +20,9 @@ datasets:
 - dereklck/kubernetes_operator_3b_1.5k
 - dereklck/kubernetes_cli_dataset_20k
 library_name: peft
+language:
+- en
+- tr
 ---
 
 # Kubernetes AI - Gemma 3 12B LoRA Adapters
@@ -44,14 +47,6 @@ This model consists of LoRA adapters fine-tuned on `unsloth/gemma-3-12b-it-qat-b
 
 ## Quick Start
 
-### Installation
-
-```bash
-pip install unsloth
-pip install "transformers>=4.40.0"
-pip install peft
-```
-
 ### Loading the Model
 
 ```python
@@ -70,7 +65,7 @@ model, tokenizer = FastLanguageModel.from_pretrained(
 # Load Kubernetes AI LoRA adapters
 model = PeftModel.from_pretrained(
     model,
-    "aciklab/kubernetes-ai-lora"
+    "aciklab/kubernetes-ai"
 )
 
 # Enable inference mode
@@ -288,12 +283,12 @@ For questions or feedback, please open an issue on the model repository.
 ### Model
 
 ```bibtex
-@misc{kubernetes-ai-turkish-gemma3,
+@misc{kubernetes-ai,
   author = {aciklab},
   title = {Kubernetes AI Turkish - Gemma 3 12B LoRA Adapters},
   year = {2025},
   publisher = {HuggingFace},
-  url = {https://huggingface.co/aciklab/kubernetes-ai-lora},
+  url = {https://huggingface.co/aciklab/kubernetes-ai},
   note = {Trained on RTX 5070 12GB in 28 hours}
 }
-```
+```