Sentence Similarity
sentence-transformers
PyTorch
bert
feature-extraction
Generated from Trainer
dataset_size:400
loss:TripletLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use ostoveland/test7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ostoveland/test7 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ostoveland/test7") sentences = [ "query: Ny duk til markise på verandaen.", "query: Boring og sprenging fjell", "query: Solskjerming Duette gardiner", "query: Bygge ark" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f66c44e5c5d747b818916a94dfe9cdbea541422baeb736c2847640b764feeec
- Size of remote file:
- 471 MB
- SHA256:
- 8f3665a7334f3ac4260de74cb907f55b8c9db76e482ab40e4814531f24444a9e
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