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 training_args.bin from GreenNode/GreenNode-Embedding-Large-1007: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/GreenNode/GreenNode-Embedding-Large-1007/resolve/main/training_args.bin
- Command line
-
hf download hf://GreenNode/GreenNode-Embedding-Large-1007/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/GreenNode/GreenNode-Embedding-Large-1007/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- fd2629f58bf2fa6c2365d2d4329b953d7ec3937ebff0327feb29b729e1b0b6d1
- Size of remote file:
- 5.43 kB
- SHA256:
- 2bf1bef22042e206719d8b4b36c1598e812bda819699f5c4e52729e0f92b1db5
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