Instructions to use 1glabs/layoutlmv3-document-classificationTrialyc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 1glabs/layoutlmv3-document-classificationTrialyc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="1glabs/layoutlmv3-document-classificationTrialyc")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("1glabs/layoutlmv3-document-classificationTrialyc") model = AutoModelForSequenceClassification.from_pretrained("1glabs/layoutlmv3-document-classificationTrialyc") - 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 sha256:46f679543913f5ab2ea1317e2b8a9acde990213c03f97ebe66d4a65fd59e4b82
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size 503725416
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