Update README.md

README.md

@@ -22,30 +22,6 @@ This is a LoRA-tuned version of LLM-jp-3-13b, fine-tuned on the Ichikara Instruc
 
 ## Uses
 
-### Direct Use
-
-To use this model for inference:
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
-import torch
-
-model_id = "yuhkis/llm-jp-3-13b-finetune"
-bnb_config = BitsAndBytesConfig(
-    load_in_4bit=True,
-    bnb_4bit_quant_type="nf4",
-    bnb_4bit_compute_dtype=torch.bfloat16,
-)
-
-model = AutoModelForCausalLM.from_pretrained(
-    model_id,
-    quantization_config=bnb_config,
-    device_map="auto",
-    token=HF_TOKEN
-)
-tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True, token=HF_TOKEN)
-```
-
 ### Output Generation and Format
 
 #### Implementation Details