Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
ONNX
Safetensors
OpenVINO
Transformers
bert
feature-extraction
text-embeddings-inference
Instructions to use sentence-transformers/paraphrase-MiniLM-L6-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-L6-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/paraphrase-MiniLM-L6-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-L6-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/paraphrase-MiniLM-L6-v2") model = AutoModel.from_pretrained("sentence-transformers/paraphrase-MiniLM-L6-v2") - Inference
- Notebooks
- Google Colab
- Kaggle
The inference API for sentence-transformers/paraphrase-MiniLM-L6-v2 is not working.
#1
by RohanBSahu - opened
The inference API for sentence-transformers/paraphrase-MiniLM-L6-v2 is not working when the input values are used other than the default ones.
RohanBSahu changed discussion status to closed
RohanBSahu changed discussion status to open
It should be working
nreimers changed discussion status to closed