FiscalNote/billsum
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How to use juliensimon/t5-base-billsum with Transformers:
# Use a pipeline as a high-level helper
# Warning: Pipeline type "summarization" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# 'pip install "transformers<5.0.0'
from transformers import pipeline
pipe = pipeline("summarization", model="juliensimon/t5-base-billsum") # Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("juliensimon/t5-base-billsum")
model = AutoModelForSeq2SeqLM.from_pretrained("juliensimon/t5-base-billsum")A T5 Base model fine-tuned for summarizing US Congressional bills using the BillSum dataset.
Video walkthrough: Summarizing legal documents with Hugging Face and Amazon SageMaker
| Detail | Value |
|---|---|
| Base model | t5-base (220M parameters) |
| Task | Text summarization |
| Dataset | BillSum (US Congressional bills) |
| Framework | PyTorch |
from transformers import pipeline
summarizer = pipeline("summarization", model="juliensimon/t5-base-billsum")
summarizer("Summarize: " + bill_text, max_length=150)
Base model
google-t5/t5-base