Feature Extraction
sentence-transformers
PyTorch
mpnet
sentence-similarity
text-embeddings-inference
Instructions to use model-embeddings/multi-qa-mpnet-base-dot-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use model-embeddings/multi-qa-mpnet-base-dot-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("model-embeddings/multi-qa-mpnet-base-dot-v1") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
---
|
| 2 |
-
pipeline_tag: sentence-similarity
|
| 3 |
tags:
|
| 4 |
- sentence-transformers
|
| 5 |
- feature-extraction
|
|
@@ -17,7 +16,6 @@ datasets:
|
|
| 17 |
- embedding-data/PAQ_pairs
|
| 18 |
- embedding-data/Amazon-QA
|
| 19 |
- embedding-data/WikiAnswers
|
| 20 |
-
|
| 21 |
---
|
| 22 |
|
| 23 |
# multi-qa-mpnet-base-dot-v1
|
|
|
|
| 1 |
---
|
|
|
|
| 2 |
tags:
|
| 3 |
- sentence-transformers
|
| 4 |
- feature-extraction
|
|
|
|
| 16 |
- embedding-data/PAQ_pairs
|
| 17 |
- embedding-data/Amazon-QA
|
| 18 |
- embedding-data/WikiAnswers
|
|
|
|
| 19 |
---
|
| 20 |
|
| 21 |
# multi-qa-mpnet-base-dot-v1
|