Instructions to use SickBoy/layoutlm_documents with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SickBoy/layoutlm_documents with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="SickBoy/layoutlm_documents")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("SickBoy/layoutlm_documents") model = AutoModelForTokenClassification.from_pretrained("SickBoy/layoutlm_documents", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d843a638044bedc6ad148b2b8ac1bd89759e0863fcb28993a8da008b28f8e00e
- Size of remote file:
- 1 GB
- SHA256:
- 94bb88bf3be3e6ce988fb23e4ca4a6b3aed019296c6d00eb45c9d699d9a948fe
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