Instructions to use tner/roberta-large-conll2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/roberta-large-conll2003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/roberta-large-conll2003")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/roberta-large-conll2003") model = AutoModelForTokenClassification.from_pretrained("tner/roberta-large-conll2003") - Notebooks
- Google Colab
- Kaggle
File size: 440 Bytes
c2a9708 | 1 | {"micro/f1": 0.9619852164730729, "micro/f1_ci": {"90": [0.9577645343622905, 0.9662569291727845], "95": [0.9566146856431471, 0.9669190537417556]}, "micro/recall": 0.9677762039660056, "micro/precision": 0.9562631210636809, "macro/f1": 0.9619852164730729, "macro/f1_ci": {"90": [0.9577645343622905, 0.9662569291727845], "95": [0.9566146856431471, 0.9669190537417556]}, "macro/recall": 0.9677762039660056, "macro/precision": 0.9562631210636809} |