cross-encoder/nli-deberta-base download history
cross-encoder/nli-deberta-base is a 139M-parameter zero shot classification model by cross-encoder. In the last 30 days it was downloaded 2,072 times (791 in the last 7 days), and 2,130,619 times in total.
It ranks #20,721 on the Hub by monthly downloads and #59 among zero shot classification models.
It has 17 likes.
It is a quantization of microsoft/deberta-base.
1 models build on nli-deberta-base: 1 quantized, 0 fine-tuned, 0 adapters and 0 merges. Together with the original they were downloaded 2,127 times in the last 30 days. See the nli-deberta-base galaxy.
Most downloaded derivatives
- Xenova/nli-deberta-base (quantized), 55 downloads in 30 days