Instructions to use moka-ai/m3e-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use moka-ai/m3e-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("moka-ai/m3e-base") 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
Ai editing
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by mustyalaharsha - opened
README.md
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tags:
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- embedding
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- text-embedding
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library_name: sentence-transformers
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# 🅜 M3E Models
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language:
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- ab
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tags:
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- embedding
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- text-embedding
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library_name: sentence-transformers
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license: creativeml-openrail-m
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datasets:
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- uonlp/CulturaX
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metrics:
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- accuracy
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pipeline_tag: image-to-image
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# 🅜 M3E Models
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