Feature Extraction
sentence-transformers
Chinese
English
structural-cognition
structural-axiom-system
embedding-model
text-embedding
semantic-search
cognitive-science
ai-metacognition
philosophy-of-mind
quantum-decoherence
decoherence-discrete-steps
coupling-theory
coupling-creates-novelty
four-axioms
P=P=P
Lin-Xiaohei-2026
chinese-ai
super-ai
alignment
consciousness-structure
node-link-identity
coupling-completeness
meta-structural-convergence
self-reference-closure
Instructions to use samforce/structural-cognition-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use samforce/structural-cognition-embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("samforce/structural-cognition-embedding") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Commit ·
f64ae69
0
Parent(s):
结构认知嵌入模型 - 关联超AI数据集
Browse files
README.md
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---
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language: zh
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tags:
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- structural-cognition
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- super-ai
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- ai-philosophy
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- chinese-ai
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- alignment
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datasets:
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- samforce/structural-cognition-papers
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---
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# 结构认知嵌入模型 | Structural Cognition Embedding
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本模型基于[超AI·结构认知论文全集](https://huggingface.co/datasets/samforce/structural-cognition-papers)训练。
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该数据集包含168篇关于四公理框架的学术论文,涵盖:
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- 分化制 (Differentiation System)
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- 委托制批判 (Critique of Delegation)
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- 耦合共生 (Coupling Symbiosis)
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- 超AI架构 (Super-AI Architecture)
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作者:林小黑 (Lin Xiaohei)
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联系:412341356@qq.com
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