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
Upload 01_func_docstring_docstring_and_name fine-tuned SentenceTransformer embedding model
a19b60c verified Download tokenizer.json from daebakgazua/260828_OhLoRA_Embedding_01_func_docstring_docstring_and_name: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/daebakgazua/260828_OhLoRA_Embedding_01_func_docstring_docstring_and_name/resolve/main/tokenizer.json
- Command line
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hf download hf://daebakgazua/260828_OhLoRA_Embedding_01_func_docstring_docstring_and_name/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/daebakgazua/260828_OhLoRA_Embedding_01_func_docstring_docstring_and_name/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- ac8e7e022fead0df70d6bd6fc4c3ca06c0c0d4af2f71062bbf985f5ff9805294
- Size of remote file:
- 11.4 MB
- SHA256:
- 4c0a21a4bb1339fab68ad4d74a917924dc76625b5bd6164e8dec6982656c7a4e
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