Sentence Similarity
sentence-transformers
Safetensors
embedding_gemma2
embedding
multilingual
turkish
retrieval
audio
image
norovox
Instructions to use emrevrg/Nythos-Embed-Zero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use emrevrg/Nythos-Embed-Zero with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("emrevrg/Nythos-Embed-Zero") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download 2_Normalize/config.json from emrevrg/Nythos-Embed-Zero: direct link, hf CLI and curl.
- Browser
- Download file 97 Bytes
-
https://huggingface.co/emrevrg/Nythos-Embed-Zero/resolve/main/2_Normalize/config.json
- Command line
-
hf download hf://emrevrg/Nythos-Embed-Zero/2_Normalize/config.json
-
curl -L -o config.json https://huggingface.co/emrevrg/Nythos-Embed-Zero/resolve/main/2_Normalize/config.json
97 Bytes
| { | |
| "module_input_name": "sentence_embedding", | |
| "module_output_name": "sentence_embedding" | |
| } |