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