Instructions to use KgModel/IncomeStatement_Cashflow_BalanceStatement__Classifier_LayoutLMv3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KgModel/IncomeStatement_Cashflow_BalanceStatement__Classifier_LayoutLMv3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KgModel/IncomeStatement_Cashflow_BalanceStatement__Classifier_LayoutLMv3")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("KgModel/IncomeStatement_Cashflow_BalanceStatement__Classifier_LayoutLMv3") model = AutoModelForSequenceClassification.from_pretrained("KgModel/IncomeStatement_Cashflow_BalanceStatement__Classifier_LayoutLMv3") - Notebooks
- Google Colab
- Kaggle
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