Instructions to use tner/roberta-large-btc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/roberta-large-btc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/roberta-large-btc")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/roberta-large-btc") model = AutoModelForTokenClassification.from_pretrained("tner/roberta-large-btc") - Notebooks
- Google Colab
- Kaggle
| {"micro/f1": 0.9113227027647126, "micro/f1_ci": {"90": [0.9044179638988344, 0.9176975890486316], "95": [0.902687742764797, 0.9191195236935528]}, "micro/recall": 0.9076782449725777, "micro/precision": 0.9149965445749827, "macro/f1": 0.9113227027647126, "macro/f1_ci": {"90": [0.9044179638988344, 0.9176975890486316], "95": [0.902687742764797, 0.9191195236935528]}, "macro/recall": 0.9076782449725777, "macro/precision": 0.9149965445749827} |