Instructions to use dell-research-harvard/historical_newspaper_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dell-research-harvard/historical_newspaper_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dell-research-harvard/historical_newspaper_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dell-research-harvard/historical_newspaper_ner") model = AutoModelForTokenClassification.from_pretrained("dell-research-harvard/historical_newspaper_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 4,336 Bytes
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