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