Delete README.md

README.md

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----
-language:
-- ja
-license: apache-2.0
-tags:
-- text-generation-inference
-- code
-- transformers
-- trl
-- qwen2
-datasets:
-- sakusakumura/databricks-dolly-15k-ja-scored
-- nu-dialogue/jmultiwoz
-- kunishou/amenokaku-code-instruct
-- HachiML/alpaca_jp_python
-base_model: Qwen/Qwen2.5-Coder-7B-Instruct
----
-
-# Uploaded  model
-
-- **Developed by:** taoki
-- **License:** apache-2.0
-- **Finetuned from model :** Qwen/Qwen2.5-Coder-7B-Instruct
-
-
-# Usage
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-model_name = "taoki/Qwen2.5-Coder-7B-Instruct_lora_jmultiwoz-dolly-amenokaku-alpaca_jp_python"
-
-model = AutoModelForCausalLM.from_pretrained(
-    model_name,
-    torch_dtype="auto",
-    device_map="auto"
-)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-
-prompt = "OpenCVを用いて定点カメラから画像を保存するコードを示してください。"
-messages = [
-    {"role": "system", "content": "You are Qwen, created by Alibaba Cloud. You are a helpful assistant."},
-    {"role": "user", "content": prompt}
-]
-text = tokenizer.apply_chat_template(
-    messages,
-    tokenize=False,
-    add_generation_prompt=True
-)
-model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
-
-generated_ids = model.generate(
-    **model_inputs,
-    max_new_tokens=512
-)
-
-response = tokenizer.batch_decode(generated_ids, skip_special_tokens=False)[0]
-print(response)
-```
-
-# Output
-````
-<|im_start|>system
-You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
-<|im_start|>user
-OpenCVを用いて定点カメラから画像を保存するコードを示してください。<|im_end|>
-<|im_start|>assistant
-```python
-import cv2
-
-# カメラを開く
-cap = cv2.VideoCapture(0)
-
-while True:
-    # 1フレームを読み込む
-    ret, frame = cap.read()
-
-    if not ret:
-        print("Failed to grab frame")
-        break
-
-    # フレームを表示する
-    cv2.imshow('frame', frame)
-
-    # 'q'キーが押されたらループを終了する
-    if cv2.waitKey(1) & 0xFF == ord('q'):
-        break
-
-# カメラを閉じる
-cap.release()
-cv2.destroyAllWindows()
-```<|im_end|>
-
-````