Token Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use cfilt/HiNER-original-xlm-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cfilt/HiNER-original-xlm-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cfilt/HiNER-original-xlm-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cfilt/HiNER-original-xlm-roberta-large") model = AutoModelForTokenClassification.from_pretrained("cfilt/HiNER-original-xlm-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| test_loss = 0.08977837860584259 | |
| test_precision = 0.8968858782575971 | |
| test_recall = 0.8871207891308394 | |
| test_f1 = 0.8919766081871345 | |
| test_runtime = 315.5399 | |
| test_samples_per_second = 69.183 | |
| test_steps_per_second = 8.649 | |