Instructions to use ghaith1997/layoutlmv3-enfavet-token-classifictaion-and-extraction-works-finally-yes-124px-05-17-2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghaith1997/layoutlmv3-enfavet-token-classifictaion-and-extraction-works-finally-yes-124px-05-17-2023 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghaith1997/layoutlmv3-enfavet-token-classifictaion-and-extraction-works-finally-yes-124px-05-17-2023")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("ghaith1997/layoutlmv3-enfavet-token-classifictaion-and-extraction-works-finally-yes-124px-05-17-2023") model = AutoModelForTokenClassification.from_pretrained("ghaith1997/layoutlmv3-enfavet-token-classifictaion-and-extraction-works-finally-yes-124px-05-17-2023", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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