Instructions to use microsoft/markuplm-large-finetuned-websrc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/markuplm-large-finetuned-websrc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="microsoft/markuplm-large-finetuned-websrc")# Load model directly from transformers import AutoProcessor, AutoModelForQuestionAnswering processor = AutoProcessor.from_pretrained("microsoft/markuplm-large-finetuned-websrc") model = AutoModelForQuestionAnswering.from_pretrained("microsoft/markuplm-large-finetuned-websrc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62eae2cb28c8563b93c955e97719ecc89233b2d04ca2f0faea1d094fa58db174
- Size of remote file:
- 1.48 GB
- SHA256:
- 782147aae1f2b5661d029c173056a1408782072ad286d998656377094df2ef49
路
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