Token Classification
Transformers
Safetensors
English
deberta-v2
named-entity-recognition
person-names
historical-text
medieval
digital-humanities
prosopography
Instructions to use jmcewan3/LondonLB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jmcewan3/LondonLB with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jmcewan3/LondonLB")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jmcewan3/LondonLB") model = AutoModelForTokenClassification.from_pretrained("jmcewan3/LondonLB", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jmcewan3/LondonLB: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
-
https://huggingface.co/jmcewan3/LondonLB/resolve/main/tokenizer.json
- Command line
-
hf download hf://jmcewan3/LondonLB/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/jmcewan3/LondonLB/resolve/main/tokenizer.json
8.66 MB
File too large to display, you can check the raw version instead.