Instructions to use kleinay/nominalization-candidate-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kleinay/nominalization-candidate-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kleinay/nominalization-candidate-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kleinay/nominalization-candidate-classifier") model = AutoModelForTokenClassification.from_pretrained("kleinay/nominalization-candidate-classifier") - Notebooks
- Google Colab
- Kaggle
| eval_loss = 0.34805111282942247 | |
| eval_accuracy = 0.8506758206393478 | |
| eval_precision = 0.9081632653061225 | |
| eval_recall = 0.8165137614678899 | |
| eval_f1 = 0.8599033816425121 | |