Instructions to use hyechanjun/interview-question-remake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyechanjun/interview-question-remake with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hyechanjun/interview-question-remake") model = AutoModelForSeq2SeqLM.from_pretrained("hyechanjun/interview-question-remake", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
datasets:
- 'INTERVIEW: NPR Media Dialog Transcripts'
AI Interviewer Question-Asking Model
For a Senior Project at Calvin University
Created by: Hyechan Jun, Ha-Ram Koo, and Advait Scaria
This model is fine-tuned on facebook/bart-base to generate sequences ending in a question mark (?). It is a remake of an earlier model that had errors in its training and validation datasets.