Instructions to use BadreddineHug/LayoutLMv3_5_entities_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BadreddineHug/LayoutLMv3_5_entities_6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BadreddineHug/LayoutLMv3_5_entities_6")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("BadreddineHug/LayoutLMv3_5_entities_6") model = AutoModelForTokenClassification.from_pretrained("BadreddineHug/LayoutLMv3_5_entities_6") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForTokenClassification
processor = AutoProcessor.from_pretrained("BadreddineHug/LayoutLMv3_5_entities_6")
model = AutoModelForTokenClassification.from_pretrained("BadreddineHug/LayoutLMv3_5_entities_6")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BadreddineHug/LayoutLMv3_5_entities_6")