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 config_sentence_transformers.json from GreenNode/GreenNode-Embedding-Large-1007: direct link, hf CLI and curl.
- Browser
- Download file 195 Bytes
-
https://huggingface.co/GreenNode/GreenNode-Embedding-Large-1007/resolve/main/config_sentence_transformers.json
- Command line
-
hf download hf://GreenNode/GreenNode-Embedding-Large-1007/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/GreenNode/GreenNode-Embedding-Large-1007/resolve/main/config_sentence_transformers.json
195 Bytes
| { | |
| "__version__": { | |
| "sentence_transformers": "3.0.1", | |
| "transformers": "4.41.2", | |
| "pytorch": "2.3.1" | |
| }, | |
| "prompts": {}, | |
| "default_prompt_name": null, | |
| "similarity_fn_name": null | |
| } |