Token Classification
Transformers
PyTorch
Latin
xlm-roberta
Medieval Latin
Latin
Morphological Features
Instructions to use efontes/efontes-feats with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efontes/efontes-feats with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="efontes/efontes-feats")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("efontes/efontes-feats") model = AutoModelForTokenClassification.from_pretrained("efontes/efontes-feats") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse filesUpload model weights
- pytorch_model.bin +3 -0
pytorch_model.bin
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