Instructions to use BadreddineHug/LayoutLMv3_5_entities with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BadreddineHug/LayoutLMv3_5_entities with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BadreddineHug/LayoutLMv3_5_entities")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("BadreddineHug/LayoutLMv3_5_entities") model = AutoModelForTokenClassification.from_pretrained("BadreddineHug/LayoutLMv3_5_entities") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): fc132fa
Training in progress, step 1000
Browse files
pytorch_model.bin
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