Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use davidoneil/bge-full-tron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use davidoneil/bge-full-tron with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("davidoneil/bge-full-tron") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6c7dcba4244ff0af38cad65ebef070e464e14d70987d83ad08f575ed7afd75e
- Size of remote file:
- 7.1 kB
- SHA256:
- a42be101786c9101a563cfdade0e71c1c400d0d21e42f1e99d219b9bcd1cd741
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