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(...
do_sample 是否使用采样取决于你希望生成文本的多样性。如果你想要生成的文本更加多样化,可以使用采样方法;否则,可以使用贪婪解码。 多项式采样在文本生成模型(例如语言模型)中常用于根据模型输出的概率来采样下一个标记。与总是选择具有最高概率的标记(贪婪搜索)相比,这种方法为生成的文本增加了多样性。 诸如温度(temper...
input_ids = tokenizer(input_txt, return_tensors="pt")["input_ids"].to(device) output = model.generate(input_ids, max_new_tokens=n_steps, do_sample=False) print(tokenizer.decode(output[0])) 1. 2. 3. Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation. Transf...
Generates sequences for models with a language modeling head. The method currently supports greedy decoding, multinomial sampling, beam-search decoding, and beam-search multinomial sampling. do_sample (bool, optional, defaults to False) – Whether or not to use sampling; use greedy decoding otherwis...
do_sample=False) print(tokenizer.decode(output_greedy[0])) Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation. In a shocking finding, scientist discovered a herd of unicorns living in a remote, previously unexplored valley, in the Andes Mountains. Even more surprising ...
do_sample: 是否使用采样; 否则使用贪婪解码。默认值为false。 best_of: 生成 best_of 序列并返回一个最高 token 的 logprobs,默认为null。 details: 是否返回有关生成的详细信息。默认值为false。 return_full_text: 是否返回完整文本或仅返回生成部分。默认值为false。
'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, max_length=200, ) forseqinsequences: ...
("As far as I am concerned, I will", max_length=50, do_sample=False) from transformers import pipeline # 命名实体识别 ner_pipe = pipeline("ner") sequence = """Hugging Face Inc. is a company based in New York City. Its headquarters are in DUMBO, therefore very close to the ...
input_ids=tokenizer(input_txt,return_tensors="pt")["input_ids"].to(device)output=model.generate(input_ids,max_new_tokens=n_steps,do_sample=False)print(tokenizer.decode(output[0])) 代码语言:javascript 复制 Setting`pad_token_id`to`eos_token_id`:50256foropen-end generation.Transformers are ...
generate(inputs,do_sample=False,max_length=200) print(tokenizer.decode(outputs[0])) 输出: 编写一个 Python 函数,它接受一个字符串作为参数,并返回该字符串的反转版本。示例: >>> string_reverse('hello') olleh 代码如下:<sep> ```python ``` # 单元测试用例: ```python def test_string_revers...