Sentence Similarity
sentence-transformers
Safetensors
German
English
multilingual
xlm-roberta
feature-extraction
retrieval
semantic-search
ifc
lca
text-embeddings-inference
Instructions to use Hygros-LCA/bge-m3-ifc-kbob-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Hygros-LCA/bge-m3-ifc-kbob-finetuned with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Hygros-LCA/bge-m3-ifc-kbob-finetuned") sentences = [ "Das ist eine glückliche Person", "Das ist ein glücklicher Hund", "Das ist eine sehr glückliche Person", "Heute ist ein sonniger Tag" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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- [eval/normal_queries](https://huggingface.co/Hygros-LCA/bge-m3-ifc-kbob-finetuned/tree/main/eval/normal_queries)
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