Model: keeeeenw/MicroLlama-text-embedding
Author: keeeeenw
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, llama, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:65749, loss:MultipleNegativesRankingLoss, loss:SoftmaxLoss, loss:CoSENTLoss, en, dataset:sentence-transformers/all-nli, dataset:sentence-transformers/stsb, dataset:sentence-transformers/quora-duplicates, dataset:sentence-transformers/natural-questions, arxiv:1908.10084, arxiv:1705.00652, base_model:keeeeenw/MicroLlama, base_model:finetune:keeeeenw/MicroLlama, endpoints_compatible, deploy:azure, region:us
Base models (finetune): id: keeeeenw/MicroLlama
Card metadata: language: en
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:65749, loss:MultipleNegativesRankingLoss, loss:SoftmaxLoss, loss:CoSENTLoss
base_model: keeeeenw/MicroLlama
widget: source_sentence: A construction worker is standing on a crane placing a large arm on top of a stature in progress.
sentences: The man is wearing black., A person standing, Nobody is standing, source_sentence: A boy in red slides down an inflatable ride.
sentences: A man holding a drill stands next to a girl holding a vacuum hose., A boy is playing on an inflatable ride., A boy pierces a knife through an inflatable ride., source_sentence: An animal is chewing on something.
sentences: A dog with a red leash still attached chases over the grass toward a tennis ball., A man is eating something., An animal is chewing on a key chain., source_sentence: What are some good books or references to get started with machine learning?
sentences: What caused the British Empire to fall?, How should I go about learning Machine Learning?, Can an infinite amount of dark or vacuum or gravitational energy be created with expansion?, source_sentence: How do I attract a girl?
sentences: How can I attract girls?, Why isn't my iPhone 5 charging?, What would the world be like now in 2016 if Hitler's Germany won the war?
datasets: sentence-transformers/all-nli, sentence-transformers/stsb, sentence-transformers/quora-duplicates, sentence-transformers/natural-questions
pipeline_tag: sentence-similarity
library_name: sentence-transformers
Likes: 1 | All-time downloads: 2692
Created: 2024-11-11 02:14:04