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Readme.md

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+# GPT-2 Fine-tuned Model by ps2program
+
+This is a GPT-2 model fine-tuned on [your dataset name, e.g., TinyStories].
+
+## Model Details
+
+- Base Model: GPT-2 (small)
+- Fine-tuning method: LoRA adapters merged into base model
+- Dataset: TinyStories or specify your dataset
+- Training epochs: 3
+- Batch size: 4
+- Framework: Hugging Face Transformers + PEFT
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_name = "ps2program/gpt2-finetuned-ps2prahlad"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+prompt = "Once upon a time"
+inputs = tokenizer(prompt, return_tensors="pt")
+
+outputs = model.generate(**inputs, max_length=50, do_sample=True, temperature=0.7)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))