inputs = tokenizer('指令:回答以下问题。输入:介绍一下孟子。输出:', return_tensors='pt') iftorch.cuda.is_available: inputs = inputs.to('cuda') pred = model.generate(**inputs, max_new_tokens=512, repetition_penalty=1.01, eos_token_id=tokenizer.eos_token_id) print(tokenizer.decode(pred...
("lmsys/vicuna-13b-v1.3")text="Hello world"input_ids=tokenizer.encode(text,return_tensors="pt").to(model.device)inputs_embeds=model.model.embed_tokens(input_ids)outputs=model.generate(inputs_embeds=inputs_embeds,max_new_tokens=10)print("\ngenerate + inputs_embeds:",tokenizer.decode(...
inputs = tokenizer(prompt, return_tensors='pt').to(dml) outputs = model.generate( **inputs, max_new_tokens=20, do_sample=True, temperature=0.75 , return_dict_in_generate=True ) token = outputs.sequences[0] output_str = tokenizer.decode(token) ...
Idefics3与其前身Idefics1和Idefics2的不同之处在于其在OCR、文档理解和视觉推理方面的增强能力。这不仅仅是一个语言处理模型,还扩展了其解释视觉信息的能力,使其成为各种应用的多功能工具。对于开发人员和人工智能爱好者来说,该模型可以针对特定任务进行微调,并提供微调代码,使其成为定制应用的实用选择。指南包括代码...
inputs = tokenizer('指令:回答以下问题。输入:介绍一下孟子。输出:', return_tensors='pt') iftorch.cuda.is_available: inputs = inputs.to('cuda') pred = model.generate(**inputs, max_new_tokens=512, repetition_penalty=1.01, eos_token_id=tokenizer.eos_token_id) ...
prompt_style == 1: - text = f'''Given a certain paper, Title: {row['title']}\n Abstract: {row['abstract']}. \n Predict its normalized academic impact:''' - inputs = self.tokenizer(text, max_length=self.max_length, padding='max_length', truncation=True, - return_tensors="pt...
fromtransformersimportAutoModelForCausalLM,AutoTokenizermodel=AutoModelForCausalLM.from_pretrained("gpt2")tokenizer=AutoTokenizer.from_pretrained("gpt2")text="Hello world"input_ids=tokenizer.encode(text,return_tensors="pt")# Traditional way of generating textoutputs=model.generate(input_ids)print("\n...
input string.>>> separate_paren_groups('( ) (( )) (( )( ))')['()', '(())', '(()())']"""'''inputs=tokenizer.encode(text,return_tensors="pt").cuda()outputs=model.generate(inputs,max_new_tokens=512,do_sample=False,temperature=0)# greedyprint(tokenizer.decode(outputs[0])...