Instructions to use RyyDer/T5_SQuAD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RyyDer/T5_SQuAD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="RyyDer/T5_SQuAD")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("RyyDer/T5_SQuAD") model = AutoModelForQuestionAnswering.from_pretrained("RyyDer/T5_SQuAD") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e46840bd85102725c8705257235d97ae4312d4e91ebb8d871209fcaa0645337
- Size of remote file:
- 5.3 kB
- SHA256:
- 1c23a487f58b7f2b42e99bbf68f7cb15ef7c92bd70d5d55841b588c01ae0b288
路
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