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:
- 18e3f131cd51bce6e3a9ece70b3e8d0b59e7d4af8973822996f0429728fb5bd9
- Size of remote file:
- 3.25 kB
- SHA256:
- 8a4d11edd7e877bb3106f5dbe10b08ecc2ddb96f455c1bc2e2c9a0adb73c064c
路
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