Sentence Similarity
sentence-transformers
PyTorch
Transformers
Icelandic
bert
feature-extraction
text-embeddings-inference
Instructions to use Sigurdur/isl-sbert-l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Sigurdur/isl-sbert-l with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Sigurdur/isl-sbert-l") 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] - Transformers
How to use Sigurdur/isl-sbert-l with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Sigurdur/isl-sbert-l") model = AutoModel.from_pretrained("Sigurdur/isl-sbert-l", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8523e4c6a9bb4b87c8d46a206ea5fb770813504401d4130d51276f030f4a68c
- Size of remote file:
- 438 MB
- SHA256:
- 6f1af3d6dda018e6c7db6f6de6037b0a8b5d3c7cd8e3412762a30330fa53cba9
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