cross-encoder/nli-roberta-base download history
cross-encoder/nli-roberta-base is a 125M-parameter zero shot classification model by cross-encoder. In the last 30 days it was downloaded 7,233 times (1,826 in the last 7 days), and 5,307,056 times in total.
It ranks #9,674 on the Hub by monthly downloads and #41 among zero shot classification models.
It has 15 likes.
It is a quantization of FacebookAI/roberta-base.
5 models build on nli-roberta-base: 1 quantized, 4 fine-tuned, 0 adapters and 0 merges. Together with the original they were downloaded 31,420 times in the last 30 days. See the nli-roberta-base galaxy.
Most downloaded derivatives
- onnx-community/nli-roberta-base-ONNX (quantized), 24.1K downloads in 30 days
- LogicSpine/address-large-text-classifier (finetune), 32 downloads in 30 days
- LogicSpine/address-base-text-classifier (finetune), 29 downloads in 30 days
- swrao/contract_nli_roberta (finetune), 15 downloads in 30 days
- mrhalim2001/nli-roberta-base-finetuned-for-amazon-review-ratings2 (finetune), 12 downloads in 30 days