Model: sachin19566/bge-base-en-v1.5-course-recommender-v1
Author: sachin19566
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:183, loss:MultipleNegativesRankingLoss, arxiv:1908.10084, arxiv:1705.00652, base_model:BAAI/bge-base-en-v1.5, base_model:finetune:BAAI/bge-base-en-v1.5, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: BAAI/bge-base-en-v1.5
Card metadata: base_model: BAAI/bge-base-en-v1.5
library_name: sentence-transformers
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:183, loss:MultipleNegativesRankingLoss
widget: source_sentence: CSS Preprocessors
sentences: Professionals who would like to learn to use CSS for enhancing the look of webpages, A course that builds on the architecture of CSS and provides learners with a toolset for creating custom stylesheets and enhancing the look of standard webpages., Prerequisites required: CSS Architecture, source_sentence: Intro to React: Props, State, & Conditional Rendering
sentences: A course that establishes foundational knowledge of building interactive websites with React framework, focused on passing data between and conditionally rendering components, Professionals who would like to build front end applications using React., Prerequisites required: Intro to React: JSX & Components, source_sentence: Testing Node.js
sentences: An introduction to software testing and types of testing using Node.js., Professionals who would like to learn the core concepts of software testing using Node.js, Prerequisites required: Authentication Node.js, source_sentence: Databases: Relational
sentences: Prerequisites required: Backend: Python, Professionals who would like to learn the core concepts of relational databases., An introduction to relational databases and how relational databases can help shape your production-ready application., source_sentence: ARIMA
sentences: Professionals some Python experience who would like to expand their skill set to time series modeling, Prerequisites required: Intro to Time Series Analysis, Learn how to apply seasonal analysis and ARIMA models and how to decompose and identify seasonal and non-seasonal factors all while learning the nuances of building sophisticated time series models.
Likes: 0 | All-time downloads: 7
Created: 2024-09-20 09:02:43