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 tokenizer.json from GreenNode/GreenNode-Embedding-Large-1007: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/GreenNode/GreenNode-Embedding-Large-1007/resolve/main/tokenizer.json
- Command line
-
hf download hf://GreenNode/GreenNode-Embedding-Large-1007/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/GreenNode/GreenNode-Embedding-Large-1007/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 83182779330bf02f2e8bedc27659fcb1bf597a905d3060f0bbdbeb663b289b43
- Size of remote file:
- 17.1 MB
- SHA256:
- b74659c780d49afad7a7b9799868f75cbd3014fb6c34956e85a793028d38094a
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