Instructions to use microsoft/markuplm-base-finetuned-websrc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/markuplm-base-finetuned-websrc 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="microsoft/markuplm-base-finetuned-websrc")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForQuestionAnswering processor = AutoProcessor.from_pretrained("microsoft/markuplm-base-finetuned-websrc") model = AutoModelForQuestionAnswering.from_pretrained("microsoft/markuplm-base-finetuned-websrc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 100 Bytes
0298fcd | 1 2 3 4 | {
"feature_extractor_type": "MarkupLMFeatureExtractor",
"processor_class": "MarkupLMProcessor"
} |