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:
- 3d17b9b99808aa0eb590b7445b9cf83db0319027a175e6341a86f154c1909f15
- Size of remote file:
- 2.24 GB
- SHA256:
- c6f09a3de984fd2998fcc7a4b74ecff5d6d2eabc2c9bb1424bd0116b89023a38
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