Instructions to use binwang/InstructDS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binwang/InstructDS with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("binwang/InstructDS") model = AutoModelForSeq2SeqLM.from_pretrained("binwang/InstructDS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
InstructDS — Research Release (EMNLP 2023)
Historical research artifact. No longer actively maintained. Retained for reproducibility of the original work.
This repository hosts the InstructDS model for Instructive Dialogue Summarization with Query Aggregations (EMNLP 2023).
- Paper
- Code and reproduction instructions
- Companion datasets
- Initialization checkpoint: flan-t5-xl-own
The initialization checkpoint is a separate artifact used by the original experiments. Use the linked project instructions to identify the appropriate checkpoint and dataset for reproduction.