Sentence Similarity
sentence-transformers
PyTorch
ONNX
Safetensors
English
bert
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use avsolatorio/GIST-all-MiniLM-L6-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use avsolatorio/GIST-all-MiniLM-L6-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("avsolatorio/GIST-all-MiniLM-L6-v2") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
ea89dfa
1
Parent(s): 68c46a7
Move onnx
Browse filesSigned-off-by: Aivin V. Solatorio <avsolatorio@gmail.com>
onnx/{onnx/model.onnx → model.onnx}
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onnx/{onnx/model_quantized.onnx → model_quantized.onnx}
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onnx/{onnx/ort_config.json → ort_config.json}
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