Mlong T5 Large Sumstew

🚀 mLong-T5-large-sumstew

mLong-T5-large-sumstew 是一个多语言、长文本（支持最多 16k 输入标记）的抽象摘要模型。该模型在 sumstew 数据集上进行训练，能够为给定的输入文档生成标题和摘要。

🚀 快速开始

✨ 主要特性

• 多语言支持：支持英语、德语、法语、意大利语和西班牙语等多种语言。
• 长文本处理：能够处理最多 16k 输入标记的长文本。
• 生成标题和摘要：可以为输入文档同时生成标题和摘要。

📦 安装指南

文档未提供安装步骤，跳过该章节。

💻 使用示例

基础用法

使用 pipeline 进行摘要生成，这种方式简单易用：

from transformers import pipeline

summarizer = pipeline("summarization", "joemgu/mlong-t5-large-sumstew")
text = "Alice was beginning to get very tired of sitting by her sister on the bank, and of having nothing to do: once or twice she had peeped into the book her sister was reading, but it had no pictures or conversations in it, 'and what is the use of a book,' thought Alice 'without pictures or conversations?' So she was considering in her own mind (as well as she could, for the hot day made her feel very sleepy and stupid), whether the pleasure of making a daisy-chain would be worth the trouble of getting up and picking the daisies, when suddenly a White Rabbit with pink eyes ran close by her. There was nothing so very remarkable in that; nor did Alice think it so very much out of the way to hear the Rabbit say to itself, 'Oh dear! Oh dear! I shall be late!' (when she thought it over afterwards, it occurred to her that she ought to have wondered at this, but at the time it all seemed quite natural); but when the Rabbit actually took a watch out of its waistcoat-pocket, and looked at it, and then hurried on, Alice started to her feet, for it flashed across her mind that she had never before seen a rabbit with either a waistcoat-pocket, or a watch to take out of it, and burning with curiosity, she ran across the field after it, and fortunately was just in time to see it pop down a large rabbit-hole under the hedge. In another moment down went Alice after it, never once considering how in the world she was to get out again."
summary = summarizer(text)[0]["summary_text"]
print(summary)

输出结果：

Title: Alice and the White Rabbit Summary: Alice is a bored and curious girl who follows a White Rabbit with a watch into a rabbit-hole. She enters a strange world where she has many adventures and meets many peculiar creatures.

高级用法

使用 .from_pretrained 方法进行更精细的控制：

from transformers import LongT5ForConditionalGeneration, T5Tokenizer

checkpoint = "joemgu/mlong-t5-large-sumstew"

gen_kwargs = {
    "max_length": 1024,
    "do_sample": False,
    "num_beams": 4, # higher = better, but uses more memory
    "use_cache": True, # Set to False if running out of memory, but will be MUCH slower
    "early_stopping": True,
    "num_return_sequences": 1,
    "repetition_penalty": 3.5,
    "encoder_repetition_penalty": 2.0,
    "length_penalty": 1.0, # higher = longer summaries
    "encoder_no_repeat_ngram_size": 4,
    "no_repeat_ngram_size": 6,
}

model = LongT5ForConditionalGeneration.from_pretrained(checkpoint)
tokenizer = T5Tokenizer.from_pretrained(checkpoint)

prefix = "Write a title and summarize: "
input_document = "Alice was beginning to get very tired of sitting by her sister on the bank, and of having nothing to do: once or twice she had peeped into the book her sister was reading, but it had no pictures or conversations in it, 'and what is the use of a book,' thought Alice 'without pictures or conversations?' So she was considering in her own mind (as well as she could, for the hot day made her feel very sleepy and stupid), whether the pleasure of making a daisy-chain would be worth the trouble of getting up and picking the daisies, when suddenly a White Rabbit with pink eyes ran close by her. There was nothing so very remarkable in that; nor did Alice think it so very much out of the way to hear the Rabbit say to itself, 'Oh dear! Oh dear! I shall be late!' (when she thought it over afterwards, it occurred to her that she ought to have wondered at this, but at the time it all seemed quite natural); but when the Rabbit actually took a watch out of its waistcoat-pocket, and looked at it, and then hurried on, Alice started to her feet, for it flashed across her mind that she had never before seen a rabbit with either a waistcoat-pocket, or a watch to take out of it, and burning with curiosity, she ran across the field after it, and fortunately was just in time to see it pop down a large rabbit-hole under the hedge. In another moment down went Alice after it, never once considering how in the world she was to get out again."

inputs = tokenizer(prefix + input_document, return_tensors="pt", max_length=16384, truncation=True, add_special_tokens=True)

outputs = model.generate(**inputs, **gen_kwargs)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))

在输入文档前添加前缀，根据不同的前缀，输出结果会有所不同：

• 若前缀为 "Summarize: " + INPUT_TEXT，输出为 "Summary: SUMMARY OF INPUT_TEXT"。
• 若前缀为 "Write a title and summarize: " + INPUT_TEXT，输出为 "Title: TITLE OF INPUT_TEXT Summary: SUMMARY OF INPUT_TEXT"。

📚 详细文档

🔧 技术细节

文档未提供具体的技术实现细节，跳过该章节。

📄 许可证

本项目采用 Apache-2.0 许可证。