Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
Generated from Trainer
dataset_size:98646
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use adugeen/facts-reranker-e5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use adugeen/facts-reranker-e5-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("adugeen/facts-reranker-e5-base") sentences = [ "Instruct: Given a dialogue context, retrieve relevant followup phrase that align with the context\nDialogue Context: bot_0: Hey, how are things today?", "Followup phrase: i am painting a mural in bedroom of Sunset on beach with black backgound.", "Followup phrase: I have a kitten.", "Followup phrase: I live in Georgia." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K