Instructions to use wyu1/GenRead-3B-TQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wyu1/GenRead-3B-TQA with Transformers:
# Load model directly from transformers import AutoTokenizer, FiDT5 tokenizer = AutoTokenizer.from_pretrained("wyu1/GenRead-3B-TQA") model = FiDT5.from_pretrained("wyu1/GenRead-3B-TQA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c9812d5776dfa16333078b687fac76a62bf827fa1bee45304751afe97c06b2c
- Size of remote file:
- 11.4 GB
- SHA256:
- a6a12acc50cf19e7c8e6296da11438a5beac9b516a8e154b648ba5817aec97a8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.