Sentence Similarity
sentence-transformers
PyTorch
Rust
ONNX
Safetensors
OpenVINO
Transformers
English
bert
feature-extraction
Eval Results
text-embeddings-inference
Instructions to use sentence-transformers/all-MiniLM-L12-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/all-MiniLM-L12-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/all-MiniLM-L12-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/all-MiniLM-L12-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L12-v2") model = AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L12-v2") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
2e5bea9
1
Parent(s): 01e1a19
rust_weights (#1)
Browse files- Addition of Rust weights (e2247c42c695cbbe02dae57d736c0b7099e40c48)
Co-authored-by: Guillaume Becquin <guillaume-be@users.noreply.huggingface.co>
- rust_model.ot +3 -0
rust_model.ot
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version https://git-lfs.github.com/spec/v1
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oid sha256:e6187a3017729198d4f826677a4d9f42b16da2052c1a6df2518587596702867d
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size 133504115
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