Sentence Similarity
sentence-transformers
Safetensors
English
mpnet
feature-extraction
Generated from Trainer
dataset_size:5130135
loss:MultipleNegativesSymmetricRankingLoss
loss:CoSENTLoss
dataset_size:8233
text-embeddings-inference
Instructions to use FINGU-AI/FingUv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use FINGU-AI/FingUv1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("FINGU-AI/FingUv1") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 401c97f901fc13e2734bb93b690b1701aa0f0e605538a9c7450b897d46dda150
- Size of remote file:
- 871 MB
- SHA256:
- 7b9a26f7bc618275dddec6da1510d9e69bf98dcf391b31ba32af4e6ad0f92dc2
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