Instructions to use ishdes/layoutlmv3-ehr-scanned-document-classification-binary-all-files with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ishdes/layoutlmv3-ehr-scanned-document-classification-binary-all-files with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ishdes/layoutlmv3-ehr-scanned-document-classification-binary-all-files")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("ishdes/layoutlmv3-ehr-scanned-document-classification-binary-all-files") model = AutoModelForSequenceClassification.from_pretrained("ishdes/layoutlmv3-ehr-scanned-document-classification-binary-all-files", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cb75a7f5a83e3fb171c13dd37b95ee90a8981c3a02aea306b2f2a5eef39ace50
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size 503706960
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