Parallia/ClinicalEncoder25-Diagnosable-Colbert-L2-for-medical-texts download history
Parallia/ClinicalEncoder25-Diagnosable-Colbert-L2-for-medical-texts is a 395M-parameter sentence similarity model by Parallia. In the last 30 days it was downloaded 0 times (0 in the last 7 days), and 199 times in total.
It ranks #1,524,614 on the Hub by monthly downloads and #19,026 among sentence similarity models.
It has 18 likes.
It is a fine-tune of jhu-clsp/ettin-encoder-400m.
1 models build on ClinicalEncoder25-Diagnosable-Colbert-L2-for-medical-texts: 0 quantized, 1 fine-tuned, 0 adapters and 0 merges. Together with the original they were downloaded 0 times in the last 30 days. See the ClinicalEncoder25-Diagnosable-Colbert-L2-for-medical-texts galaxy.
Most downloaded derivatives
- Parallia/ClinicalEncoder25-Diagnosable-Colbert-L1-for-medical-texts (finetune), 0 downloads in 30 days
Open Parallia/ClinicalEncoder25-Diagnosable-Colbert-L2-for-medical-texts on Hugging Face
Sister project: Paper Pulse, the upvote history of every Hugging Face Daily Paper.