sentence-transformers
ONNX
Safetensors
English
ogma
mteb
embedding
text-embedding
axiotic
matryoshka
small-model
custom_code
Eval Results (legacy)
Instructions to use axiotic/ogma-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use axiotic/ogma-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("axiotic/ogma-large", trust_remote_code=True) 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
- Xet hash:
- cc4058a77eef6f8fc949747e32989b3f2f55df28b6f1e64585829431f2b4ffaa
- Size of remote file:
- 129 MB
- SHA256:
- a443c13d3ce25220e05bec1722c033aa452e50acb6b04fb4d020ec01abb5efd6
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