Instructions to use MaggieXM/deberta-base-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MaggieXM/deberta-base-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="MaggieXM/deberta-base-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("MaggieXM/deberta-base-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("MaggieXM/deberta-base-finetuned-squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ddbd31c7bc4e4d975143b1345814fc216de18c917cd1f3b32e7d469e36c50f0
- Size of remote file:
- 554 MB
- SHA256:
- 65fabfa28ade072b61dd9efe30069054fb23e8ee9b95a13aa6bbd19b83194f7c
路
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