Instructions to use xfact/FiD-NQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xfact/FiD-NQ with Transformers:
# Load model directly from transformers import AutoTokenizer, FiDT5 tokenizer = AutoTokenizer.from_pretrained("xfact/FiD-NQ") model = FiDT5.from_pretrained("xfact/FiD-NQ") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7461878fbb44d53da87fd320e1a673202a69a0ea5a4ae9f675dff2fb7ab4d83
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size 891646352
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