Instructions to use Aya4567/QA_Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aya4567/QA_Python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Aya4567/QA_Python")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Aya4567/QA_Python") model = AutoModelForQuestionAnswering.from_pretrained("Aya4567/QA_Python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 759eec9626cba06486da4a30e9638cf82cd67301f766b9b35a546ff3b85daf58
- Size of remote file:
- 496 MB
- SHA256:
- 195a98e1a2f5b22f5fc7a104aa0ff3f053b552e065ce012614580f7dded3fc96
路
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