Instructions to use omarSorour123/sorour_qa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarSorour123/sorour_qa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="omarSorour123/sorour_qa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("omarSorour123/sorour_qa_model") model = AutoModelForQuestionAnswering.from_pretrained("omarSorour123/sorour_qa_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3deb1818788684d2fd11540b01f626cf7a16f34ad418581d8e0222eb04a97d1c
- Size of remote file:
- 16.3 MB
- SHA256:
- dc30289d5060815271d2c066f32f7c3615d56b96d4b3d1726c28a0453eb6417c
路
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