Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
Generated from Trainer
dataset_size:2000
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use justmeomeo1/finetuned_model_for_anime_query with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use justmeomeo1/finetuned_model_for_anime_query with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("justmeomeo1/finetuned_model_for_anime_query") sentences = [ "Niigata city's publicity mascot characters, Komachi Hanano and Dangorou Sasa, search for the mysterious stone that was stolen after it had fallen from the skies.", "peace memorial cherry trees anime", "Siamese Cats radio DJs counter-terrorism", "Niigata city mascot adventure quest" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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