Sentence Similarity
sentence-transformers
PyTorch
ONNX
Safetensors
OpenVINO
English
bert
mteb
Sentence Transformers
Eval Results (legacy)
text-embeddings-inference
Instructions to use thenlper/gte-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use thenlper/gte-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("thenlper/gte-base") 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 History
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Add exported openvino model 'openvino_model_qint8_quantized.xml' (#15)
Verified signature- Add exported openvino model 'openvino_model_qint8_quantized.xml' (6ba1338d30e73914bf77c1bf49fab0abae1582dd) Co-authored-by: Tom Aarsen <tomaarsen@users.noreply.huggingface.co>c078288 -
Add exported onnx model 'model_qint8_avx512_vnni.onnx' (#12)
Verified signature- Add exported onnx model 'model_qint8_avx512_vnni.onnx' (e109d4ba61a72f9710df984e755216ebbed0da3f) Co-authored-by: Tom Aarsen <tomaarsen@users.noreply.huggingface.co>b74a134
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Add exported openvino model 'openvino_model.xml' (#14)
Verified signature- Add exported openvino model 'openvino_model.xml' (af9178332e5c261a8f15bd133ea81e6de4008649) Co-authored-by: Tom Aarsen <tomaarsen@users.noreply.huggingface.co>d3a82f5 -
Add exported onnx model 'model_O4.onnx' (#13)
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Fix typo in model name (#4)
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