Instructions to use MarkS/bart-base-qa2d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarkS/bart-base-qa2d with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MarkS/bart-base-qa2d") model = AutoModelForSeq2SeqLM.from_pretrained("MarkS/bart-base-qa2d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c93e8e6a6a242f7f8464ebffd14e40e28e5237bbd9864cefa1d0894eb0bcbbb
- Size of remote file:
- 558 MB
- SHA256:
- 98d6eb1469747f38268d3428c5992be03ef9ecfd47b47eb25f8003e9191aadba
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.