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M11309206/
t5-summarization

Name: t5-summarization
Availability: InStock

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📘 T5 Summarization Model

This is a fine-tuned T5 model for text summarization tasks.

🧠 Model Info

Base model: t5-small
Task: Text Summarization
Epochs: 3
Training loss: 1.80
Eval loss: 1.63
ROUGE-1: 41.49
ROUGE-2: 13.62
ROUGE-L: 29.42

🚀 Usage (in Python)

python

from transformers import T5Tokenizer, T5ForConditionalGeneration

model = T5ForConditionalGeneration.from_pretrained("你的帳號/t5-summarization")
tokenizer = T5Tokenizer.from_pretrained("你的帳號/t5-summarization")

text = "summarize: The Eiffel Tower is a famous landmark in Paris..."
inputs = tokenizer(text, return_tensors="pt", truncation=True)
outputs = model.generate(inputs.input_ids, max_length=100, num_beams=4, early_stopping=True)
summary = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(summary)

M11309206/t5-summarization

📘 T5 Summarization Model

🧠 Model Info

🚀 Usage (in Python)

M11309206/
t5-summarization