Instructions to use daebakgazua/260828_OhLoRA_Embedding_01_func_docstring_docstring_and_name with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use daebakgazua/260828_OhLoRA_Embedding_01_func_docstring_docstring_and_name with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("daebakgazua/260828_OhLoRA_Embedding_01_func_docstring_docstring_and_name") 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
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Upload 01_func_docstring_docstring_and_name fine-tuned SentenceTransformer embedding model
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