Sentence Similarity
sentence-transformers
Safetensors
Icelandic
xlm-roberta
trimmed
text-embeddings-inference
Instructions to use alphaedge-ai/bge-m3-isl-32768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alphaedge-ai/bge-m3-isl-32768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/bge-m3-isl-32768") 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
Update model card for Icelandic
Browse files
README.md
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@@ -34,7 +34,6 @@ from sentence_transformers import SentenceTransformer
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# Download from the 🤗 Hub
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model = SentenceTransformer("alphaedge-ai/bge-m3-isl-32768")
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# Run inference with queries and documents
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query = "My query"
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query = "My query in Icelandic"
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documents = [
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"Chunk in Icelandic",
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# Download from the 🤗 Hub
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model = SentenceTransformer("alphaedge-ai/bge-m3-isl-32768")
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# Run inference with queries and documents
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query = "My query in Icelandic"
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documents = [
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"Chunk in Icelandic",
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