Research Archive
Collection
Historical artifacts from SBERT-WK, RSE, InstructDS, and earlier research. No longer maintained; retained for reproducibility. • 32 items • Updated
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")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 No longer actively maintained.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).
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.
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("binwang/InstructDS") model = AutoModelForSeq2SeqLM.from_pretrained("binwang/InstructDS", device_map="auto")