Instructions to use pdp19/document_question_answering_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pdp19/document_question_answering_model with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="pdp19/document_question_answering_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("pdp19/document_question_answering_model") model = AutoModelForQuestionAnswering.from_pretrained("pdp19/document_question_answering_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ExampleUsesQandAModel.ipynb from pdp19/document_question_answering_model: direct link, hf CLI and curl.
- Browser
- Download file 17.6 kB
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https://huggingface.co/pdp19/document_question_answering_model/resolve/main/ExampleUsesQandAModel.ipynb
- Command line
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hf download hf://pdp19/document_question_answering_model/ExampleUsesQandAModel.ipynb
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curl -L -o ExampleUsesQandAModel.ipynb https://huggingface.co/pdp19/document_question_answering_model/resolve/main/ExampleUsesQandAModel.ipynb
17.6 kB