Sentence Similarity
sentence-transformers
Safetensors
English
feature-extraction
intent-classification
retrieval
routing
agent-runtime
mcp
skills
mind-nerve
Instructions to use star-ga/mind-nerve with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use star-ga/mind-nerve with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("star-ga/mind-nerve") 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
Commit History
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docs: align model card to 0.3.1 (honest wins-only: 2.6x routing, native-default, English-only, no GPU/Windows-native/end-to-end claims)
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docs: align model card with v0.3.0b9 (hook, acquire, native encoder, pure-MIND migration)
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chore: yank encoder_weights.q16.meta.json — superseded; v0.3.0b7 had a silent correctness regression (i64/i32 stride mismatch in dot_q16_v); v0.3.0b8 hotfixes by reverting to Track A C-shim
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chore: yank encoder_weights.q16.bin — superseded; v0.3.0b7 had a silent correctness regression (i64/i32 stride mismatch in dot_q16_v); v0.3.0b8 hotfixes by reverting to Track A C-shim
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feat: encoder_weights meta sidecar (mirrors the (N,K) blob)
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feat: encoder_weights.q16.bin (N,K) layout for mind-nerve 0.3.0b7 #233(a) thesis-pure encode (sha 17489317...)
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docs: highlight pip-install + auto-download (0.1.0a6)
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mind-nerve phase1 v1.1-oss — initial weights upload (0.1.0a3)
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Upload README.md with huggingface_hub
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initial commit
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