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 tokenizer.json from emrevrg/Nythos-Embed-Zero: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/emrevrg/Nythos-Embed-Zero/resolve/main/tokenizer.json
- Command line
-
hf download hf://emrevrg/Nythos-Embed-Zero/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/emrevrg/Nythos-Embed-Zero/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- ff29dc00bacbe2db29a89eee9cd86b61be7936ed3d1a755ff69d1b259a18a7c7
- Size of remote file:
- 32.2 MB
- SHA256:
- 4d777ef5bdc1aa36227abdfb77c3e49e7b9c892d16e1b6bda41c393504828be4
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