Token Classification
Transformers
PyTorch
Latin
xlm-roberta
Medieval Latin
Medieval Names
Latin NER
Latin-Vernacular
Instructions to use efontes/efontes-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efontes/efontes-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="efontes/efontes-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("efontes/efontes-ner") model = AutoModelForTokenClassification.from_pretrained("efontes/efontes-ner") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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size 2235436564
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