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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:84ada81bedede43ecb05e92e2d85c04396fa1560a499939139315b2ec587abc6
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size 470637416
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