Sentence Similarity
sentence-transformers
PyTorch
Safetensors
bert
mteb
feature-extraction
Eval Results (legacy)
text-embeddings-inference
Instructions to use aspire/acge_text_embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use aspire/acge_text_embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("aspire/acge_text_embedding") 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
Upload ONNX weights
Browse files- onnx/model.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- onnx/quantize_config.json +30 -0
onnx/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:b42c3342c611b7248b2aa1b3ccf8031928067de99c886b57f177ea42c369d22b
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size 1300477706
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onnx/model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:5595c39ea1e0f29a39ddf6cf977c24b2f80f21acd2b184c26212ada188a6b6d0
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size 327892092
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onnx/quantize_config.json
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{
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"per_channel": true,
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"reduce_range": true,
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"per_model_config": {
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"model": {
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"op_types": [
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"Erf",
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"Transpose",
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"Cast",
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"Softmax",
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"Gather",
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"Mul",
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"ReduceMean",
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"Unsqueeze",
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"Reshape",
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"Sqrt",
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"Slice",
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"Constant",
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"MatMul",
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"Concat",
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"Div",
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"Add",
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"Pow",
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"Sub",
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"Shape"
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],
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"weight_type": "QInt8"
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}
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}
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}
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