symanto
/

mpnet-base-snli-mnli

Zero-Shot Classification

text-classification

Inference Endpoints

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Marc Franco-Salvador commited on Sep 30, 2021

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 A cross attention NLI model trained for zero-shot and few-shot text classification.
-The base model is [mpnet-base](https://huggingface.co/microsoft/mpnet-base), trained with the code from [here](https://github.com/facebookresearch/anli),
 on [SNLI](https://nlp.stanford.edu/projects/snli/) and [MNLI](https://cims.nyu.edu/~sbowman/multinli/).
 Usage:

 A cross attention NLI model trained for zero-shot and few-shot text classification.
+The base model is [mpnet-base](https://huggingface.co/microsoft/mpnet-base), trained with the code from [here](https://github.com/facebookresearch/anli);
 on [SNLI](https://nlp.stanford.edu/projects/snli/) and [MNLI](https://cims.nyu.edu/~sbowman/multinli/).
 Usage: