Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:12000
loss:CosineSimilarityLoss
text-embeddings-inference
Instructions to use yodyamahesa/paper-recommendation-bert-kd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use yodyamahesa/paper-recommendation-bert-kd with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("yodyamahesa/paper-recommendation-bert-kd") sentences = [ "the development of the food and beverage culinary industry is growing very rapidly. making food and beverage business owners, especially restaurants, have to make the right decision to stay in a very strong competition, restaurant owners must be ready to always innovate and remain to be able to meet consumer needs through products that can attract customers and determine strategies promotions that can boost sales. stored transaction data has information that can be extracted by data mining techniques, for example knowing the pattern of sales in purchases by consumers. information about sales patterns can be used by o! fish restaurants to create more potential promotional strategies to boost sales by referring to items (menus) that are often purchased together. . to be able to find out the purchase patterns by consumers simultaneously, knowing what products are often purchased simultaneously can be used data mining techniques using a priori algorithms. a priori algorithm is used to generate association rules. information about the association’s rules in purchasing items (menus) by consumers can be used by o! fish restaurants to create more potential promotional strategies to boost sales by referring to a combination of items that are often purchased simultaneously. later the results of this study are in the form of a website-based application to analyze purchasing patterns (item association rules) by consumers where the purchase pattern can be used as recommendations in determining the promotion development strategy for o! fish restaurants.", "analysis of histopathology slides is a critical step for many diagnoses, and in particular in oncology where it defines the gold standard. in the case of digital histopathological analysis, highly trained pathologists must review vast whole-slide-images of extreme digital resolution (100,000^2 pixels) across multiple zoom levels in order to locate abnormal regions of cells, or in some cases single cells, out of millions. the application of deep learning to this problem is hampered not only by small sample sizes, as typical datasets contain only a few hundred samples, but also by the generation of ground-truth localized annotations for training interpretable classification and segmentation models. we propose a method for disease available during training. even without pixel-level annotations, we are able to demonstrate performance comparable with models trained with strong annotations on the camelyon-16 lymph node metastases detection challenge. we accomplish this through the use of pre-trained deep convolutional networks, feature embedding, as well as learning via top instances and negative evidence, a multiple instance learning technique fromatp the field of semantic segmentation and object detection.", "this paper develops recommendations for selecting and connecting three single-phase transformers as a neutral-deriving transformer bank to ground a 480v low-voltage power system supplied from a delta-connected source transformer. assumptions made are that the system has no 277v loads and the bank is used solely as a source of ground fault current.", "new normal atau normal baru merupakan suatu cara hidup baru atau cara baru dalam menjalankan aktivitas hidup di tengah situasi pandemi coronavirus disease 2019 (covid-19) yang sedang melanda dunia saat ini. hal ini diperlukan untuk menjawab masalah kehidupan selama pandemi, dan sebuah adaptasi manusia untuk mempertahankan hidupnya. menjawab tantangan di era new normal, di mana masyarakat dihantui perasaan kecemasan dan mulai timbul sikap apriori maka diperlukan hubungan interpersonal yang dapat menciptakan nilai-nilai bertoleransi, simpati, dan empati. dalam hal inilah diperlukan pemimpin yang mampu menggerakkan dan mengarahkan semua anggotanya dalam satu ritme yang selaras. pemimpin yang berani hadir terdepan memberikan teladan di tengah-tengah masyarakat. berani menindak dengan tegas setiap pelanggaran protokol kesehatan, dan tentunya senantiasa memperhatikan kesejahteraan masyarakat. berkenaan dengan hal tersebut, maka seorang pemimpin dapat mengaktualisasikan ajaran asta brata dalam kitab rāmāyaṇa untuk menjawab tantangan bagi pemimpin di era new normal ini." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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