Instructions to use Winniehyww/layoutlmv3-test-7-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Winniehyww/layoutlmv3-test-7-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Winniehyww/layoutlmv3-test-7-classification")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("Winniehyww/layoutlmv3-test-7-classification") model = AutoModelForSequenceClassification.from_pretrained("Winniehyww/layoutlmv3-test-7-classification", device_map="auto") - 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:f39fe9c94fdc37cbcb724aaa2a8b1dcb1d47330a220d3d7cd5ab2eb78b395bf6
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size 503725416
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