specific kwargs should not be prefixed and decoder specific kwargs should be prefixedwith*decoder_*.Return:[`~utils.ModelOutput`]or`torch.LongTensor`:A[`~utils.ModelOutput`](if`return_dict_in_generate=True`or when`config.return_dict_in_generate=True`)or a`torch.FloatTensor`.If the model...
if not passed, will be set to themodel's default generation configuration. You can override any `generation_config` by passing the correspondingparameters to generate(), e.g. `.generate(inputs, num_beams=4,
stopping_criteria (`StoppingCriteriaList`, *optional*): Custom stopping criteria that complement the default stopping criteria built from arguments and a generation config. If a stopping criteria is passed that is already created with the arguments or a generation config an error is thrown. This fe...
If your stopping criteria depends on the `scores` input, make sure you pass `return_dict_in_generate=True, output_scores=True` to `generate`. """@add_start_docstrings(STOPPING_CRITERIA_INPUTS_DOCSTRING)def__call__(self, input_ids: torch.LongTensor, scores: torch.FloatTensor, **kwargs) ...
StoppingCriteria 可用于更改生成过程何时停止(除了 EOS 标记)。请注意,这仅适用于我们的 PyTorch 实现。 class transformers.StoppingCriteria < source > ( ) 所有可以在生成过程中应用的停止标准的抽象基类。 如果您的停止标准取决于scores输入,请确保将return_dict_in_generate=True, output_scores=True传递给generat...
请改用 generate()。有关生成策略和代码示例的概述,请查看以下指南。 示例: >>> from transformers import ( ... AutoTokenizer, ... AutoModelForCausalLM, ... StoppingCriteriaList, ... MaxLengthCriteria, ... ) >>> tokenizer = AutoTokenizer.from_pretrained("facebook/opt-125m") >>> model =...
model_output = model.generate(stopping_criteria=stopping_criteria_list, **tokenized_items, **generation_settings, pad_token_id=tokenizer.eos_token_id) Expected behavior Stop generating when it generated \n.mk-cupist closed this as completed Mar 29, 2023 mk-cupist reopened this Mar 29, 2023...
generate(inputs["input_ids"], max_new_tokens=64, stopping_criteria = [RwkvStoppingCriteria()]) RwkvConfig class transformers.RwkvConfig <来源> 代码语言:javascript 复制 ( vocab_size = 50277 context_length = 1024 hidden_size = 4096 num_hidden_layers = 32 attention_hidden_size = None ...
stopping_criteria (StoppingCriteriaList, optional)— 自定义停止标准,补充从参数和模型配置构建的默认停止标准。如果传递的停止标准已经使用参数或模型配置创建,则会引发错误。 kwargs (Dict[str, Any], optional)— generate_config的特定参数化和/或将转发到模型的forward函数的其他模型特定 kwargs。 返回 形状为(...
__call__(self, input_ids: torch.LongTensor, scores: torch.FloatTensor, **kwargs) -> bool: last_2_ids = input_ids[:,-2:].tolist() return self.eos_sequence in last_2_ids output = model.generate(inputs["input_ids"], max_new_tokens=64, stopping_criteria = [RwkvStoppingCriteria(...