Instructions to use castorini/wiki-text-6-3-fid-large-tqa-reader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use castorini/wiki-text-6-3-fid-large-tqa-reader with Transformers:
# Load model directly from transformers import AutoTokenizer, FiDT5 tokenizer = AutoTokenizer.from_pretrained("castorini/wiki-text-6-3-fid-large-tqa-reader") model = FiDT5.from_pretrained("castorini/wiki-text-6-3-fid-large-tqa-reader") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2954139d9e5c791c1f6e702143198afa34134670abe827dc2fd46d2d71b8cc66
- Size of remote file:
- 2.95 GB
- SHA256:
- e2a13844b693b56bc9a14bc3b477fec992a67f2cb50287861adf3aff5e78fb30
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