Instructions to use ncsu-dk-lab/AutoDisProxyT-RTE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ncsu-dk-lab/AutoDisProxyT-RTE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ncsu-dk-lab/AutoDisProxyT-RTE")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ncsu-dk-lab/AutoDisProxyT-RTE") model = AutoModelForSequenceClassification.from_pretrained("ncsu-dk-lab/AutoDisProxyT-RTE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {'accuracy': 0.5523465703971119} | |
| {'accuracy': 0.5884476534296029} | |
| {'accuracy': 0.6137184115523465} | |
| {'accuracy': 0.6209386281588448} | |
| {'accuracy': 0.6425992779783394} | |
| {'accuracy': 0.6462093862815884} | |
| {'accuracy': 0.6245487364620939} | |
| {'accuracy': 0.6389891696750902} | |
| {'accuracy': 0.6173285198555957} | |
| {'accuracy': 0.6353790613718412} | |
| {'accuracy': 0.6462093862815884} | |
| {'accuracy': 0.6137184115523465} | |
| {'accuracy': 0.6137184115523465} | |
| {'accuracy': 0.6173285198555957} | |
| {'accuracy': 0.6245487364620939} | |
| {'accuracy': 0.6173285198555957} | |
| {'accuracy': 0.6173285198555957} | |
| {'accuracy': 0.6173285198555957} | |
| {'accuracy': 0.6064981949458483} | |