matekadlicsko
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distilroberta-nli

Zero-Shot Classification

text-classification

Inference Endpoints

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DistilRoBERTa for NLI

Model description

This model can be used for Natural Language Inference (NLI) tasks. It is a version of roberta-base fine-tuned on multi_nli and english xnli.

Model Performance

The model's performance on NLI tasks is as follows:

Accuracy on MNLI validation matched: TODO
Accuracy on MNLI validation mismatched: TODO

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Safetensors

Model size

82.1M params

Tensor type

F32

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Datasets used to train matekadlicsko/distilroberta-nli