Instructions to use renjithks/layoutlmv2-er-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use renjithks/layoutlmv2-er-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="renjithks/layoutlmv2-er-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("renjithks/layoutlmv2-er-ner") model = AutoModelForTokenClassification.from_pretrained("renjithks/layoutlmv2-er-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from renjithks/layoutlmv2-er-ner: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/renjithks/layoutlmv2-er-ner/resolve/main/tokenizer.json
- Command line
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hf download hf://renjithks/layoutlmv2-er-ner/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/renjithks/layoutlmv2-er-ner/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.