Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use GreenNode/GreenNode-Embedding-Large-1007 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use GreenNode/GreenNode-Embedding-Large-1007 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GreenNode/GreenNode-Embedding-Large-1007") 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 colbert_linear.pt from GreenNode/GreenNode-Embedding-Large-1007: direct link, hf CLI and curl.
- Browser
- Download file 4.2 MB
-
https://huggingface.co/GreenNode/GreenNode-Embedding-Large-1007/resolve/main/colbert_linear.pt
- Command line
-
hf download hf://GreenNode/GreenNode-Embedding-Large-1007/colbert_linear.pt
-
curl -L -o colbert_linear.pt https://huggingface.co/GreenNode/GreenNode-Embedding-Large-1007/resolve/main/colbert_linear.pt
4.2 MB
- Xet hash:
- a52c5c269c7bba06bd920d6bd7be4d662b22709838c5310bf646d76a21a327db
- Size of remote file:
- 4.2 MB
- SHA256:
- 2973e5f976cd497134f120c7813d67e10e216c712491c815069e378b7bfef19e
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