Feature Extraction
sentence-transformers
Safetensors
bert
retrieval
devdata-search
text-embeddings-inference
Instructions to use ai4data/devdata-search-noinstruct-small-cgist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ai4data/devdata-search-noinstruct-small-cgist with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ai4data/devdata-search-noinstruct-small-cgist") 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:
- 8e0bb9f37363b1b52805fc2fca64eadbc9bea47923e37012d431cb5bebe53fb3
- Size of remote file:
- 133 MB
- SHA256:
- af4b83f17d62849453a2def28c41aff249d984784febecd88bdb2c9d926d5efb
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