Instructions to use Intel/nq_fid_lfqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/nq_fid_lfqa with Transformers:
# Load model directly from transformers import AutoTokenizer, FiDT5 tokenizer = AutoTokenizer.from_pretrained("Intel/nq_fid_lfqa") model = FiDT5.from_pretrained("Intel/nq_fid_lfqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea605c5b153e4e2428fc926240cccf69868f2bf62f98f6577abc333417afd098
- Size of remote file:
- 892 MB
- SHA256:
- 5b50cdedabe2fac03868efe62006e51c50345fdf28f40257da0a3d735569d50a
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