许可证：apache-2.0
数据集：

• smjain/abap
  语言：
• 英文

该模型基于极少量ABAP数据集进行微调，并以NousResearch/Llama-2-7b-chat-hf作为基础模型。

示例代码：

from transformers import pipeline  
from transformers import AutoModelForCausalLM, AutoTokenizer  

model_path = "smjain/abap-nous-hermes"  

model = AutoModelForCausalLM.from_pretrained(model_path)  

tokenizer = AutoTokenizer.from_pretrained('NousResearch/llama-2-7b-chat-hf')  

prompt = "编写一个示例ABAP报表"  # 可替换为自定义提示  

gen = pipeline('text-generation', model=model, tokenizer=tokenizer, max_new_tokens=256)  

result = gen(prompt)  

print(result[0]['generated_text'])