Sentence Similarity
sentence-transformers
Safetensors
Transformers
new
feature-extraction
mteb
custom_code
Eval Results (legacy)
text-embeddings-inference
Instructions to use Gem-Software/stella-v5.2-boost15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Gem-Software/stella-v5.2-boost15 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Gem-Software/stella-v5.2-boost15", trust_remote_code=True) 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] - Transformers
How to use Gem-Software/stella-v5.2-boost15 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gem-Software/stella-v5.2-boost15", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload config_sentence_transformers.json with huggingface_hub
Browse files
config_sentence_transformers.json
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"default_prompt_name": null,
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"model_type": "SentenceTransformer",
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"prompts": {
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"document": "",
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"query": "",
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"s2p_query": "Instruct: Given a web search query, retrieve relevant passages that answer the query.\nQuery: ",
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"s2s_query": "Instruct: Retrieve semantically similar text.\nQuery: "
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"similarity_fn_name": "cosine"
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{
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"__version__": {
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"sentence_transformers": "3.0.1",
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"transformers": "4.42.3",
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"pytorch": "2.3.1+cu121"
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"prompts": {
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"s2p_query": "Instruct: Given a web search query, retrieve relevant passages that answer the query.\nQuery: ",
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"s2s_query": "Instruct: Retrieve semantically similar text.\nQuery: "
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},
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"default_prompt_name": null,
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"similarity_fn_name": "cosine"
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}
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