Instructions to use stevemobs/deberta-base-combined-squad1-aqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stevemobs/deberta-base-combined-squad1-aqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="stevemobs/deberta-base-combined-squad1-aqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("stevemobs/deberta-base-combined-squad1-aqa") model = AutoModelForQuestionAnswering.from_pretrained("stevemobs/deberta-base-combined-squad1-aqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d63fc25be089ddbb0f4230a0f4773e68b8057426f74aeadbd06d4627af1bd618
- Size of remote file:
- 554 MB
- SHA256:
- ca254690a1b91238f82ef3de9ac50317b71c5d289156a3aa96c9983a65dc0a2d
路
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