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
Download preprocessor_config.json from microsoft/markuplm-base-finetuned-websrc: direct link, hf CLI and curl.
- Browser
- Download file 100 Bytes
-
https://huggingface.co/microsoft/markuplm-base-finetuned-websrc/resolve/main/preprocessor_config.json
- Command line
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hf download hf://microsoft/markuplm-base-finetuned-websrc/preprocessor_config.json
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curl -L -o preprocessor_config.json https://huggingface.co/microsoft/markuplm-base-finetuned-websrc/resolve/main/preprocessor_config.json
100 Bytes
| { | |
| "feature_extractor_type": "MarkupLMFeatureExtractor", | |
| "processor_class": "MarkupLMProcessor" | |
| } |