3.8 KiB
license, language, tags, pipeline_tag, base_model, datasets
| license | language | tags | pipeline_tag | base_model | datasets | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| apache-2.0 |
|
|
text-generation |
|
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Short-Drama-Title-Generator-4B (微短剧爆款剧名生成大模型)
🎬 模型介绍
Short-Drama-Title-Generator-4B 是一款基于 Qwen3-4B-Instruct 深度微调的“微短剧爆款剧名生成器”。
本模型使用了高达 20,205 条真实的爆款微短剧数据集(涵盖女频、男频、战神、甜宠、穿书、系统、打脸虐渣等全品类)进行指令微调(SFT)。模型深谙下沉市场用户的心理与短剧“网感”,能够根据简单的剧情简介和标签,一键生成极具爽感、能引发病毒式传播的微短剧剧名。
核心应用场景:
- 短剧编剧/导演快速起名
- 网文小说作者灵感激发
- 短视频信息流广告素材起标题
🚀 快速开始 (Quick Start)
1. 依赖安装
pip install transformers accelerate vllm
2. Python 推理示例
我们推荐使用 transformers 库进行快速调用。请确保你遵循了训练时的 Prompt 格式(即包含【标签】和【简介】)。
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "EugeneMeng/Short-Drama-Title-Generator-4B"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", torch_dtype="auto")
# 你的指令和输入
instruction = "你是一名深谙下沉市场心理的顶级微短剧编剧。请根据以下剧情简介,为这部【女频】短剧起一个极具爽感、能引发病毒式传播的爆款剧名。"
input_text = "【标签】[\"都市爱情\", \"追妻火葬场\", \"打脸虐渣\"]\n【简介】林湘看清自己不过是父亲用来挽救公司、被塞进豪门的“工具人”。三年协议婚姻,她忍下冷暴力与流言。幡然醒悟后,她踢走势利保姆,重返职场,活成了前夫高攀不起的模样。"
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": f"{instruction}\n{input_text}"}
]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
# 生成剧名
generated_ids = model.generate(**model_inputs, max_new_tokens=50, temperature=0.7)
generated_ids = [
output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
]
response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
print("生成的剧名:", response)
3. Ollama 本地运行
文件包含‘Modelfile`,如果你熟悉 Ollama 生态,可以直接将其转换为 GGUF 并进行极其方便的本地部署调用。
🎬 Model Description (English)
Short-Drama-Title-Generator-4B is a specialized Large Language Model fine-tuned on the Qwen3-4B-Instruct architecture. It is designed to generate highly engaging, viral, and click-worthy titles for Chinese Short Dramas (微短剧).
The model was meticulously fine-tuned on a high-quality dataset containing 20,205 real-world popular short drama titles and plots. It excels at extracting core elements from a brief plot summary and outputting titles that strongly appeal to target audiences in the short video ecosystem.
⚠️ 免责声明 (Disclaimer)
本模型生成的剧名仅供参考,生成结果受输入文本和模型生成随机性影响。请用户在使用时遵守相关法律法规,不得用于生成、传播任何违法违规或侵犯他人权益的内容。