Sentence Similarity
sentence-transformers
Safetensors
Norwegian
Norwegian Nynorsk
Norwegian Bokmål
feature-extraction
dense
loss:CachedMultipleNegativesRankingLoss
custom_code
Eval Results (legacy)
Instructions to use Fremtind/norsbert4-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Fremtind/norsbert4-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Fremtind/norsbert4-base", trust_remote_code=True) sentences = [ "Inne i igloen gjør den unge mannen seg klar for sitt overnattingsopphold.", "Folk danser i gaten.", "Den unge mannen gjør seg klar for sitt overnattingsopphold.", "Den unge mannen gjør seg klar til å dra." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Add new SentenceTransformer model
Browse files
README.md
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- `bf16_full_eval`: False
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- `tf32`: None
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- `ddp_backend`: None
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- `tpu_metrics_debug`: False
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- `bf16_full_eval`: False
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- `fp16_full_eval`: False
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- `ddp_backend`: None
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- `tpu_metrics_debug`: False
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