Instructions to use tner/deberta-v3-large-ttc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/deberta-v3-large-ttc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/deberta-v3-large-ttc")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/deberta-v3-large-ttc") model = AutoModelForTokenClassification.from_pretrained("tner/deberta-v3-large-ttc") - Notebooks
- Google Colab
- Kaggle
| {"micro/f1": 0.8713961775186264, "micro/f1_ci": {"90": [0.8592197178260848, 0.8844864406930985], "95": [0.8564147820469139, 0.8869424677617551]}, "micro/recall": 0.8716785482825664, "micro/precision": 0.8711139896373057, "macro/f1": 0.8713961775186264, "macro/f1_ci": {"90": [0.8592197178260848, 0.8844864406930985], "95": [0.8564147820469139, 0.8869424677617551]}, "macro/recall": 0.8716785482825664, "macro/precision": 0.8711139896373057} |