Feature Extraction
sentence-transformers
Safetensors
English
auditing
llm
reasoning-tokens
matching-head
Instructions to use s1ghhh/CoIn-Matching-Head with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use s1ghhh/CoIn-Matching-Head with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("s1ghhh/CoIn-Matching-Head") 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
- Xet hash:
- 0607682777da5470c0cb70076f02a290cb36f69d6c9a4c69007f871ed08adf70
- Size of remote file:
- 533 kB
- SHA256:
- 97dd0328a9bf63471ead5b4341ece7c5a3affc9ed34420318d8a0e75357a8306
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