4.文本生成 #第5章/文本生成fromtransformersimportpipelinetext_generator=pipeline("text-generation")text_generator("As far as I am concerned, I will",max_length=50,do_sample=False) 在这段代码中,得到了 text_generator 对象后,直接接调用 text_generator 对象,入参为一个句子的开头,让 text_generator ...
from transformers import pipeline text_generator = pipeline("text-generation") print(text_generator("As far as I am concerned, I will", max_length=50, do_sample=False)) # [{'generated_text': 'As far as I am concerned, I will be the first to admit that I am not a fan of the id...
tokenizer = AutoTokenizer.from_pretrained("codellama/CodeLlama-7b-hf") pipeline = transformers.pipeline( "text-generation", model="codellama/CodeLlama-7b-hf", torch_dtype=torch.float16, device_map="auto", ) sequences = pipeline( 'def fibonacci(', do_sample=True, temperature=0.2, top_p=0...
例如令牌的概率如下所示: 例如,Pancakes + looks时间段1的概率等效于: Pancakes looks so = log(...
sequences = pipeline( 'I liked "Breaking Bad" and "Band of Brothers". Do you have any recommendations of other shows I might like?\n', do_sample=True, top_k=10, num_return_sequences=1, eos_token_id=tokenizer.eos_token_id,
我们将参数设置为do_sample=False 1.5.1 0.5B参数推理 我们首先调用0.5B参数进行推断 直接上测试代码 登陆后复制1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 登陆后复制fromtransformersimportAutoTokenizer,AutoModelForCausalLM,DataCollatorForSeq2Seq,Trainer,TrainingArguments ...
你可以非常简单的用accelerate来利用pipeline跑大模型。只要你安装了accelerate的包。 首先用device_map=“auto”来加载模型。 importtorchfromtransformersimportpipeline pipe=pipeline(model="facebook/opt-1.3b",torch_dtype=torch.bfloat16,device_map="auto")output=pipe("this is a cool example!",do_sample=Tr...
Pipelines:很容易用的抽象,两行代码即可实现。对pipeline的使用,更详细的笔记可参考我之前撰写的博文:huggingface.transformers速成笔记:Pipeline推理和AutoClass第一节。 直接使用模型:抽象程度较低,但更易改造、功能更多,支持直接改换、使用tokenizer(原话是a direct access to a tokenizer,我没搞懂具体是啥意思?)和全...
from transformers import pipeline text_generator = pipeline("text-generation") print(text_generator("As far as I am concerned, I will", max_length=50, do_sample=False)) [{'generated_text': 'As far as I am concerned, I will be the first to admit that I am not a fan of the idea...
2. 使用 Pipeline 进行推理 pipeline()函数是使用预训练模型进行推理的最简单方式。它能够跨不同模态处理...