Instructions to use ghaith1997/layoutlmv3-text-extraction-test-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghaith1997/layoutlmv3-text-extraction-test-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ghaith1997/layoutlmv3-text-extraction-test-2")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("ghaith1997/layoutlmv3-text-extraction-test-2") model = AutoModelForSequenceClassification.from_pretrained("ghaith1997/layoutlmv3-text-extraction-test-2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:1297485d3408a6063f473536b36612699c4b3715d47cd6c0b65584874016c4a7
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size 503716188
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