How to use capitaletech/Language-levels-LayoutLMv3-v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="capitaletech/Language-levels-LayoutLMv3-v5")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("capitaletech/Language-levels-LayoutLMv3-v5") model = AutoModelForTokenClassification.from_pretrained("capitaletech/Language-levels-LayoutLMv3-v5", device_map="auto")
https://huggingface.co/capitaletech/Language-levels-LayoutLMv3-v5/resolve/main/tokenizer.json
hf download hf://capitaletech/Language-levels-LayoutLMv3-v5/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/capitaletech/Language-levels-LayoutLMv3-v5/resolve/main/tokenizer.json
