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") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
28939a1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:58c4433dc0148c6dcbb383b9e233378c256de46436f4b7c33785bfe5dc3da8f7
size 34299149
|