JohanHeinsen/Old_News_Segmentation_SBERT_V0.1 download history

JohanHeinsen/Old_News_Segmentation_SBERT_V0.1 is a 109M-parameter sentence similarity model by JohanHeinsen. In the last 30 days it was downloaded 93 times (21 in the last 7 days), and 794 times in total.

It ranks #193,706 on the Hub by monthly downloads and #2,966 among sentence similarity models.

It has 1 likes.

It is a fine-tune of CALDISS-AAU/DA-BERT_Old_News_V1.

14 models build on Old_News_Segmentation_SBERT_V0.1: 0 quantized, 14 fine-tuned, 0 adapters and 0 merges. Together with the original they were downloaded 230 times in the last 30 days. See the Old_News_Segmentation_SBERT_V0.1 galaxy.

Most downloaded derivatives

• JohanHeinsen/ENO_Runaway_Advertisement_classifier_2.0 (finetune), 15 downloads in 30 days
• JohanHeinsen/Labour_ads_demand (finetune), 15 downloads in 30 days
• JohanHeinsen/ENO_last_identifier (finetune), 13 downloads in 30 days
• JohanHeinsen/ENO_first_identifier (finetune), 12 downloads in 30 days
• JohanHeinsen/ENO_header_identifier (finetune), 11 downloads in 30 days
• JohanHeinsen/Labour_ads_female (finetune), 11 downloads in 30 days
• JohanHeinsen/PE_efterlyst_appearance (finetune), 11 downloads in 30 days
• JohanHeinsen/PE_efterlyst_gender (finetune), 11 downloads in 30 days
• JohanHeinsen/Labour_ads_gender (finetune), 8 downloads in 30 days
• JohanHeinsen/Labour_ads_male (finetune), 7 downloads in 30 days
• JohanHeinsen/Labour_advertisement_identifier (finetune), 7 downloads in 30 days
• JohanHeinsen/PE_efterlyst_foreigner (finetune), 7 downloads in 30 days

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