Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
ONNX
Safetensors
OpenVINO
Transformers
bert
feature-extraction
text-embeddings-inference
Instructions to use sentence-transformers/paraphrase-MiniLM-L3-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/paraphrase-MiniLM-L3-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/paraphrase-MiniLM-L3-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] - Transformers
How to use sentence-transformers/paraphrase-MiniLM-L3-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/paraphrase-MiniLM-L3-v2") model = AutoModel.from_pretrained("sentence-transformers/paraphrase-MiniLM-L3-v2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Add Core ML conversion
Browse filesCore ML conversion, task=multiple-choice, precision=float32
- coreml/multiple-choice/float16_model.mlpackage/Data/com.apple.CoreML/model.mlmodel +0 -0
- coreml/multiple-choice/float16_model.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- coreml/multiple-choice/float16_model.mlpackage/Manifest.json +18 -0
- coreml/multiple-choice/float32_model.mlpackage/Data/com.apple.CoreML/model.mlmodel +0 -0
- coreml/multiple-choice/float32_model.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- coreml/multiple-choice/float32_model.mlpackage/Manifest.json +18 -0
- coreml/question-answering/float16_model.mlpackage/Data/com.apple.CoreML/model.mlmodel +0 -0
- coreml/question-answering/float16_model.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- coreml/question-answering/float16_model.mlpackage/Manifest.json +18 -0
coreml/multiple-choice/float16_model.mlpackage/Data/com.apple.CoreML/model.mlmodel
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coreml/multiple-choice/float16_model.mlpackage/Data/com.apple.CoreML/weights/weight.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c7aa2e1bc25b2bbec1b15a25dd0766426823eba2eec875f2cd8fff76aae89476
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size 34489152
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coreml/multiple-choice/float16_model.mlpackage/Manifest.json
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"author": "com.apple.CoreML",
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"description": "CoreML Model Weights",
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"name": "weights",
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"path": "com.apple.CoreML/weights"
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},
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"8401929A-56A3-4B3F-9534-60AAF0D514FC": {
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"author": "com.apple.CoreML",
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"description": "CoreML Model Specification",
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"name": "model.mlmodel",
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"path": "com.apple.CoreML/model.mlmodel"
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}
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},
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"rootModelIdentifier": "8401929A-56A3-4B3F-9534-60AAF0D514FC"
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}
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coreml/multiple-choice/float32_model.mlpackage/Data/com.apple.CoreML/model.mlmodel
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coreml/multiple-choice/float32_model.mlpackage/Data/com.apple.CoreML/weights/weight.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b369fdd60a3725bd2e9441f275421b8bdbc1aae3175531bc023e3706e4a01b9
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size 68974656
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coreml/multiple-choice/float32_model.mlpackage/Manifest.json
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"author": "com.apple.CoreML",
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"description": "CoreML Model Specification",
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"name": "model.mlmodel",
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"path": "com.apple.CoreML/model.mlmodel"
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},
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"E9323EF4-BB5E-4DD9-85EE-104C7106D96E": {
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"author": "com.apple.CoreML",
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"description": "CoreML Model Weights",
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"name": "weights",
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"path": "com.apple.CoreML/weights"
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}
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},
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"rootModelIdentifier": "E8A029F0-70AA-4E81-A22E-A4B34C2A87C9"
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}
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coreml/question-answering/float16_model.mlpackage/Data/com.apple.CoreML/model.mlmodel
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coreml/question-answering/float16_model.mlpackage/Data/com.apple.CoreML/weights/weight.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d57b29bbe10137b66ba735c71ff7c976c368e6755f02064e7de9ec612a861317
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size 34290880
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coreml/question-answering/float16_model.mlpackage/Manifest.json
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"author": "com.apple.CoreML",
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"description": "CoreML Model Specification",
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"name": "model.mlmodel",
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"path": "com.apple.CoreML/model.mlmodel"
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},
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"B3146298-8463-4E16-8EA7-8F6DBAE2C84E": {
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"author": "com.apple.CoreML",
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"description": "CoreML Model Weights",
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"name": "weights",
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"path": "com.apple.CoreML/weights"
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}
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},
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"rootModelIdentifier": "84C23ACB-6AA4-461C-8BCC-CBAA1CFB7522"
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}
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