Instructions to use Devtrick/roberta_nli_ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Devtrick/roberta_nli_ensemble with Transformers:
# Load model directly from transformers import roBERTaClassifier model = roBERTaClassifier.from_pretrained("Devtrick/roberta_nli_ensemble", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b7e16aa58270d86604ed31e927fc885cdf6d3a70634695c5b9909c30ee77d4c
- Size of remote file:
- 502 MB
- SHA256:
- 1648f06ca6296e5025d57af893986c17760de5a492224d9813c23c01d02e4157
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.