Instructions to use StaAhmed/Model_QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StaAhmed/Model_QA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="StaAhmed/Model_QA")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("StaAhmed/Model_QA") model = AutoModelForQuestionAnswering.from_pretrained("StaAhmed/Model_QA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c81baa7aca385c86857ccc80ee58a5540101f3dccabfb3852d23477a73099452
- Size of remote file:
- 712 kB
- SHA256:
- 7e584a910b73d688ab7251fdc120d33bf7d717025d271b50029ea9058e8ca407
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