🚀 mLong-T5-large-sumstew
このモデルは多言語対応で、最大16kの入力トークンを扱える抽象的要約モデルです。sumstewデータセットで学習され、与えられた入力文書のタイトルと要約の両方を生成できます。
🚀 クイックスタート
✨ 主な機能
- 多言語対応の長文要約(最大16k入力トークン)
- 入力文書のタイトルと要約の生成
📦 インストール
このモデルはtransformers
ライブラリを使用しています。以下のコマンドでインストールできます。
pip install transformers
💻 使用例
基本的な使用法
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)
出力:
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.
高度な使用法
from transformers import LongT5ForConditionalGeneration, T5Tokenizer
checkpoint = "joemgu/mlong-t5-large-sumstew"
gen_kwargs = {
"max_length": 1024,
"do_sample": False,
"num_beams": 4,
"use_cache": True,
"early_stopping": True,
"num_return_sequences": 1,
"repetition_penalty": 3.5,
"encoder_repetition_penalty": 2.0,
"length_penalty": 1.0,
"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))
入力文書には以下のプレフィックスを付けることができます。
- "Summarize: "+入力テキスト
- "Write a title and summarize: "+入力テキスト
プレフィックスに応じて、出力は以下のようになります。
- "Summary: 入力テキストの要約"
- "Title: 入力テキストのタイトル Summary: 入力テキストの要約"
📚 ドキュメント
- モデル名: Joemgu/mlong-t5-large-sumstew
- タスク: 要約
- データセット: samsum
- 評価指標: ROUGE
属性 |
詳情 |
モデルタイプ |
多言語、長文抽象的要約モデル |
訓練データ |
Joemgu/sumstew |
📄 ライセンス
このモデルはApache 2.0ライセンスの下で提供されています。