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:
- 3036d3fbd6115075f3a9306c8128de02bac30b4d141129762d46a347d9a8b9cf
- Size of remote file:
- 133 MB
- SHA256:
- 0cfdfc3be0b78911e74e40d67a087d0307c3ed1a5dabd061f7016c8da5aa0560
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