Summarization
Transformers
PyTorch
ONNX
longt5
text2text-generation
summary
booksum
long-document
long-form
Eval Results (legacy)
Instructions to use Shobhank-iiitdwd/long-t5-tglobal-base-16384-book-summary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shobhank-iiitdwd/long-t5-tglobal-base-16384-book-summary 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="Shobhank-iiitdwd/long-t5-tglobal-base-16384-book-summary")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Shobhank-iiitdwd/long-t5-tglobal-base-16384-book-summary") model = AutoModelForSeq2SeqLM.from_pretrained("Shobhank-iiitdwd/long-t5-tglobal-base-16384-book-summary", device_map="auto") - Notebooks
- Google Colab
- Kaggle