Instructions to use daebakgazua/260828_OhLoRA_Embedding_04_func_args_bindable with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use daebakgazua/260828_OhLoRA_Embedding_04_func_args_bindable with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("daebakgazua/260828_OhLoRA_Embedding_04_func_args_bindable") 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
Download tokenizer.json from daebakgazua/260828_OhLoRA_Embedding_04_func_args_bindable: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/daebakgazua/260828_OhLoRA_Embedding_04_func_args_bindable/resolve/main/tokenizer.json
- Command line
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hf download hf://daebakgazua/260828_OhLoRA_Embedding_04_func_args_bindable/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/daebakgazua/260828_OhLoRA_Embedding_04_func_args_bindable/resolve/main/tokenizer.json
3.58 MB
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