Sentence Similarity
sentence-transformers
ONNX
Safetensors
bert
feature-extraction
bge
mteb
mergekit
Merge
Eval Results (legacy)
text-embeddings-inference
Instructions to use Mihaiii/test25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Mihaiii/test25 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Mihaiii/test25") 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
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library_name: transformers
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tags:
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- mergekit
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- merge
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# Giratina
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license: mit
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library_name: sentence-transformers
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pipeline_tag: sentence-similarity
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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- bge
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- mteb
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- mergekit
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- merge
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base_model:
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- Mihaiii/Wartortle
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- TaylorAI/bge-micro-v2
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# Giratina
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