Instructions to use Intel/nq_fid_lfqa_early_exit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/nq_fid_lfqa_early_exit with Transformers:
# Load model directly from transformers import AutoTokenizer, FiDT5 tokenizer = AutoTokenizer.from_pretrained("Intel/nq_fid_lfqa_early_exit") model = FiDT5.from_pretrained("Intel/nq_fid_lfqa_early_exit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 081ae28177b56624ced4fcd69d842cd2b3be94450456ddc844c5667d8a325d75
- Size of remote file:
- 894 MB
- SHA256:
- 432a63cb5eeea46f3409ac0a0fba4309fe9a2cb872f11cf58c7f39f811652c8d
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