Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
ONNX
Safetensors
OpenVINO
Transformers
English
bert
feature-extraction
text-embeddings-inference
Instructions to use sentence-transformers/multi-qa-MiniLM-L6-cos-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/multi-qa-MiniLM-L6-cos-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/multi-qa-MiniLM-L6-cos-v1") 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/multi-qa-MiniLM-L6-cos-v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/multi-qa-MiniLM-L6-cos-v1") model = AutoModel.from_pretrained("sentence-transformers/multi-qa-MiniLM-L6-cos-v1", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
Add new SentenceTransformer model with an openvino backend 2d981ed verified
Add new SentenceTransformer model with an openvino backend e77d999 verified
Add exported ONNX model 'model_qint8_avx512_vnni.onnx' 8ed8b01 verified
Add exported ONNX model 'model_qint8_avx512.onnx' 72251d4 verified
Add exported ONNX model 'model_quint8_avx2.onnx' 9c441fc verified
Add exported ONNX model 'model_qint8_arm64.onnx' 3454cde verified
Add exported ONNX model 'model_O4.onnx' fa5d39a verified
Add exported ONNX model 'model_O3.onnx' cd42685 verified
Add exported ONNX model 'model_O2.onnx' 49b099c verified
Add exported ONNX model 'model_O1.onnx' c9cafa9 verified
Add new SentenceTransformer model with an onnx backend 40426cd verified
adding training dataset 2ad254d
add training datasets 0de4dba
Update README.md ccac161
adding training datasets b52b070
Add TF weights e8717c2
Joao Gante commited on