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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfa2432425622244e560a2700adafa0eff970af44969deb07caa929b653a7dbb
- Size of remote file:
- 4.47 GB
- SHA256:
- e2632edf5c3e475ffeb1fd26d8005ac46fa965d3a6deb03c06885b82b6127766
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