Instructions to use vuiseng9/bert-base-squadv1-qat-bt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vuiseng9/bert-base-squadv1-qat-bt with Transformers:
# Load model directly from transformers import AutoTokenizer, NNCFNetwork tokenizer = AutoTokenizer.from_pretrained("vuiseng9/bert-base-squadv1-qat-bt") model = NNCFNetwork.from_pretrained("vuiseng9/bert-base-squadv1-qat-bt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9d9a4d02cdfb945e45b5b365d8892b3977f082d54ad4b52d75707ace401be37
- Size of remote file:
- 3.12 kB
- SHA256:
- 88c4f4c68103459470bd9943769fb1824b4bb7a25a12428467224908f6718d4a
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