Sentence Similarity
sentence-transformers
PyTorch
bert
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use infgrad/stella-large-zh-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use infgrad/stella-large-zh-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("infgrad/stella-large-zh-v2") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f3bc35c36e65bd4a490aeed1eaf95b979aba2bea9fa297d4ce7125a6a1f6fe6
- Size of remote file:
- 652 MB
- SHA256:
- 56a9c048f2b19978f646260eadd99c6db6d33480793e7f2d08504f3466bd6617
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