Instructions to use eyaHarbaoui/markuplmForfinanceArticle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eyaHarbaoui/markuplmForfinanceArticle with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="eyaHarbaoui/markuplmForfinanceArticle")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("eyaHarbaoui/markuplmForfinanceArticle") model = AutoModelForTokenClassification.from_pretrained("eyaHarbaoui/markuplmForfinanceArticle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from eyaHarbaoui/markuplmForfinanceArticle: direct link, hf CLI and curl.
- Browser
- Download file 101 Bytes
-
https://huggingface.co/eyaHarbaoui/markuplmForfinanceArticle/resolve/main/preprocessor_config.json
- Command line
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hf download hf://eyaHarbaoui/markuplmForfinanceArticle/preprocessor_config.json
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curl -L -o preprocessor_config.json https://huggingface.co/eyaHarbaoui/markuplmForfinanceArticle/resolve/main/preprocessor_config.json
101 Bytes
| { | |
| "feature_extractor_type": "MarkupLMFeatureExtractor", | |
| "processor_class": "MarkupLMProcessor" | |
| } | |