Instructions to use V0ltron/layoutLMTesting-different-labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use V0ltron/layoutLMTesting-different-labels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="V0ltron/layoutLMTesting-different-labels")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("V0ltron/layoutLMTesting-different-labels") model = AutoModelForSequenceClassification.from_pretrained("V0ltron/layoutLMTesting-different-labels") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
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