Sentence Similarity
sentence-transformers
PyTorch
English
bert
feature-extraction
text-embeddings-inference
Instructions to use rethem-expeditecommerce/MiniLM-L6-GPL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use rethem-expeditecommerce/MiniLM-L6-GPL with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("rethem-expeditecommerce/MiniLM-L6-GPL") 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:
- 3d49fac647804d1c64399757a1442c4e97cb9955bafe856f60f81e53d35f4b67
- Size of remote file:
- 90.9 MB
- SHA256:
- 318bee48c855d986fa969d506faca405c1f6facbdd56e22c5ad84f2938348a13
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