max_input_length=896, ipu_config=ipu_config, ) flan_t5.model.ipu_config.executable_cache_dir = executable_cache_dir 现在,让我们问它一些随机问题: questions = [ "Solve the following equation for x: x^2 - 9 = 0", "At what temperature does nitrogen freeze?", "In order to r...
import osdefpreprocess_function(sample, padding="max_length"):# created prompted input inputs = [prompt_template.format(input=item) for item in sample[text_column]]# tokenize inputs model_inputs = tokenizer(inputs, max_length=tokenizer.model_max_length, padding=padding, truncation=True)...
prompt_length = len(tokenizer(prompt_template.format(input=""))["input_ids"]) max_sample_length = tokenizer.model_max_length - prompt_length print(f"Prompt length: {prompt_length}") print(f"Max input length: {max_sample_length}") # Prompt length: 12 # Max input length: 500 Prompt l...
tokenized_inputs = concatenate_datasets([dataset["train"], dataset["test"]]).map(lambdax: tokenizer(x[text_column], truncation=True), batched=True, remove_columns=[text_column, summary_column]) max_source_length =max([len(x)forxintokenized_inputs["input_ids"]]) max_source_length =min...
Max input length: 500 现在我们知道,模型支持的最大输入文档长度为 500。除了输入之外,我们还需要知道最大“目标”序列长度,我们可以通过遍历数据集中的摘要长度来得到。(代码需要运行几分钟) fromdatasetsimportconcatenate_datasets importnumpyasnp# The maximum total input sequence length after tokenization.# Sequen...
Max input length: 500 现在我们知道,模型支持的最大输入文档长度为 500。除了输入之外,我们还需要知道最大“目标”序列长度,我们可以通过遍历数据集中的摘要长度来得到。(代码需要运行几分钟) from datasets import concatenate_datasetsimport numpy as np# The maximum total input sequence length after tokenization....
:inputs=[prefix+docfordocinexamples["question"]]model_inputs=tokenizer(inputs,max_length=128,truncation=True)# The "labels" are the tokenized outputs:labels=tokenizer(text_target=examples["answer"],max_length=512,truncation=True)model_inputs["labels"]=labels["input_ids"]returnmodel_inputs...
retrieve_default(model_id=model_id, model_version=model_version) # We will override some default hyperparameters with custom values hyperparameters["epochs"] = "3" # TODO # hyperparameters["max_input_length"] = "300" # data inputs will be truncated at this lengt...
max_length– The model generates text until the output length (which includes the input context length) reachesmax_length. If specified, it must be a positive integer. num_return_sequences– The number of output sequences returned. If specified, it must be a positive intege...
二、Flan-T5环境搭建 在使用Flan-T5之前,你需要搭建相应的运行环境。以下是一些建议的步骤: 安装Python:确保你的系统已安装Python,并配置好环境变量。建议使用Python 3.7或更高版本。 安装PyTorch:Flan-T5基于PyTorch框架实现,因此你需要安装PyTorch及其相关依赖。你可以访问PyTorch官网查看安装指南。 安装Transformers库:Tr...