Instructions to use calemolech/temp11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use calemolech/temp11 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("calemolech/temp11") 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
- Xet hash:
- 3ce58b49362410bd7f427612442998f0e530d7a4646f9a07e08f6dfd2e876d09
- Size of remote file:
- 1.34 GB
- SHA256:
- 0ac7e34c0d9494e7d833a9a9db25e390743e9e58d9d92f569ed208da9f2e18a0
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