Update README.md

README.md

@@ -6,44 +6,4 @@ license: apache-2.0
 language:
 - eng
 pipeline_tag: text-generation
----
-
-This is a Turkish finetuned Llama-3.1-8B model using InstrucTurca dataset in order to increase the Turkish capability of modern LLMs.
-
-Note: These are only LoRA adapters. You should also import the base model itself.
-
-Example usage:
-
-```py
-model_name = "unsloth/Meta-Llama-3.1-8B"
-model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", torch_dtype=torch.float16)
-model.gradient_checkpointing_enable()
-
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-
-adapter_path = "suayptalha/Llama-3.1-8b-Turkish-Finetuned"
-model = PeftModel.from_pretrained(model, adapter_path)
-
-alpaca_prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
-
-### Instruction:
-{}
-
-### Input:
-{}
-
-### Response:
-{}"""
-
-inputs = tokenizer(
-[
-    alpaca_prompt.format(
-        "", #Your question here
-        "", #Given input here
-        "", #Output (for training)
-    )
-], return_tensors = "pt").to("cuda")
-
-outputs = model.generate(**inputs, max_new_tokens = 512, use_cache = True)
-tokenizer.batch_decode(outputs)
-```
+---