Sentence Similarity
sentence-transformers
PyTorch
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use another-symato/finetune_bge_m3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use another-symato/finetune_bge_m3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("another-symato/finetune_bge_m3") 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:
- 9b58af6c3e8163fee08f9d02159732aac5dc33f8fcbe136a406533817d13f6b3
- Size of remote file:
- 17.1 MB
- SHA256:
- 2b3f6fc9286922cf30646a1957c81e5655f977d2204c9631b7624f21d6c641b5
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