Instructions to use 1glabs/layoutlmv3-document-classificationTrial3yc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 1glabs/layoutlmv3-document-classificationTrial3yc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="1glabs/layoutlmv3-document-classificationTrial3yc")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("1glabs/layoutlmv3-document-classificationTrial3yc") model = AutoModelForSequenceClassification.from_pretrained("1glabs/layoutlmv3-document-classificationTrial3yc") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForSequenceClassification
processor = AutoProcessor.from_pretrained("1glabs/layoutlmv3-document-classificationTrial3yc")
model = AutoModelForSequenceClassification.from_pretrained("1glabs/layoutlmv3-document-classificationTrial3yc")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="1glabs/layoutlmv3-document-classificationTrial3yc")