Instructions to use capitaletech/language-levels-LayoutLMv3-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use capitaletech/language-levels-LayoutLMv3-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="capitaletech/language-levels-LayoutLMv3-v4")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("capitaletech/language-levels-LayoutLMv3-v4") model = AutoModelForTokenClassification.from_pretrained("capitaletech/language-levels-LayoutLMv3-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from capitaletech/language-levels-LayoutLMv3-v4: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/capitaletech/language-levels-LayoutLMv3-v4/resolve/main/tokenizer.json
- Command line
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hf download hf://capitaletech/language-levels-LayoutLMv3-v4/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/capitaletech/language-levels-LayoutLMv3-v4/resolve/main/tokenizer.json
2.11 MB
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