Instructions to use roberthsu2003/models_for_qa_slide with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roberthsu2003/models_for_qa_slide with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="roberthsu2003/models_for_qa_slide")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("roberthsu2003/models_for_qa_slide") model = AutoModelForQuestionAnswering.from_pretrained("roberthsu2003/models_for_qa_slide") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98dbedf0f2bf61f1280305d43850f2e763ad29acc49b30c9e819f9b968f9fefb
- Size of remote file:
- 5.3 kB
- SHA256:
- f19fbf549a5a9d5277d9732e43809411a2a1f461df727592c93602f1a83625a3
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