Instructions to use Ericu950/SyllaMoBert-grc-macronizer-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ericu950/SyllaMoBert-grc-macronizer-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Ericu950/SyllaMoBert-grc-macronizer-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Ericu950/SyllaMoBert-grc-macronizer-v1") model = AutoModelForTokenClassification.from_pretrained("Ericu950/SyllaMoBert-grc-macronizer-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision_class0": 0.9979717701952193, | |
| "recall_class0": 0.9979276924435918, | |
| "f1_class0": 0.9979497308326957, | |
| "precision_class1": 0.9820009851360357, | |
| "recall_class1": 0.9758343386762872, | |
| "f1_class1": 0.9789079502802405, | |
| "precision_class2": 0.9900949580532462, | |
| "recall_class2": 0.9912562545384596, | |
| "f1_class2": 0.9906752659701403, | |
| "macro_f1": 0.9891776490276921, | |
| "macro_precision": 0.990022571128167, | |
| "macro_recall": 0.9883394285527795 | |
| } |