Instructions to use Devtrick/bert_nli_ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Devtrick/bert_nli_ensemble with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import BertNLIClassifier model = BertNLIClassifier.from_pretrained("Devtrick/bert_nli_ensemble", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Devtrick/bert_nli_ensemble: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Devtrick/bert_nli_ensemble/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Devtrick/bert_nli_ensemble/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Devtrick/bert_nli_ensemble/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- ff33d469d37719ba209743535e22afaaf503816d760710a1afab96f72ef14b9e
- Size of remote file:
- 438 MB
- SHA256:
- 2b0d4b1832921ac497280f3f898af707662cbf2d43fe8839f044c605ef82ae6d
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