Sentence Similarity
sentence-transformers
Safetensors
gemma3_text
feature-extraction
text-embeddings-inference
Instructions to use alibayram/mft-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alibayram/mft-random with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alibayram/mft-random") 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] - Notebooks
- Google Colab
- Kaggle
Add new SentenceTransformer model
Browse files- 2_Dense/model.safetensors +1 -1
- 3_Dense/model.safetensors +1 -1
- model.safetensors +1 -1
2_Dense/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4718680
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c3520ca179edce6d5ba171bd07c31aca1993d4ee78edb2d44e42452c14377f83
|
| 3 |
size 4718680
|
3_Dense/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4718680
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7851284bc86bad4ed81c329b6b23f4d2cc579b5869ae5215f9a11c66f822e1eb
|
| 3 |
size 4718680
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 253438152
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3986afa5daa78ac139db4a9617c2be4acc4b4c902665c9adcff9a5fdee190673
|
| 3 |
size 253438152
|