Sentence Similarity
sentence-transformers
PyTorch
Safetensors
mpnet
feature-extraction
text-embeddings-inference
Instructions to use NASA-AIML/MIKA_Custom_IR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use NASA-AIML/MIKA_Custom_IR with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("NASA-AIML/MIKA_Custom_IR") sentences = [ "what components are vulnerable to fatigue crack?", "One of the first-stage compressor blades had fractued due to fatigue cracking.", "Witnesses and the fire department personnel noted fuel leaking due to a cracked fuel line.", "During periods of low visibility and night conditions, the supporting sensors sometimes conflict." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Commit ·
2a43df9
1
Parent(s): bf0db12
Upload LISCENSE.txt
Browse files- LISCENSE.txt +9 -0
LISCENSE.txt
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
MIKA version 1.0
|
| 2 |
+
---------------------------
|
| 3 |
+
Released under the NASA Open Source Agreement Version 1.3, see
|
| 4 |
+
NASA_Open_Source_Agreement_MIKA.pdf for full details.
|
| 5 |
+
|
| 6 |
+
Copyright © 2023 United States Government as represented by the Administrator
|
| 7 |
+
of the National Aeronautics and Space Administration. All Rights Reserved.
|
| 8 |
+
|
| 9 |
+
---------------------------
|