| # karasu-lora-jp-qa-chat | |
| karasu fine tuned model by lora method with the original Q&A dataset. | |
| This model is usefull for rag system with reference input files. | |
| * Base model: Merged model of lightblue/karasu-1.1B and yuiseki/karasu-sake-qa-v0.1 (aipib/karasu-slerp1) | |
| * Traning dataset: Original japanese question and answer lists | |
| ## 💻 Usage | |
| ```python | |
| !pip install -qU transformers accelerate | |
| from transformers import AutoTokenizer | |
| import transformers | |
| import torch | |
| model = "aipib/suzume-taskarith1" | |
| messages = [{"role": "user", "content": "What is a large language model?"}] | |
| tokenizer = AutoTokenizer.from_pretrained(model) | |
| prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) | |
| pipeline = transformers.pipeline( | |
| "text-generation", | |
| model=model, | |
| torch_dtype=torch.float16, | |
| device_map="auto", | |
| ) | |
| outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) | |
| print(outputs[0]["generated_text"]) | |
| ``` |