Sentence Similarity
sentence-transformers
Safetensors
gemma3_text
feature-extraction
text-embeddings-inference
Instructions to use alibayram/tabi-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alibayram/tabi-random with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alibayram/tabi-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 sha256:961243f983711639af3666f691cce7b802fa5b866d376f628eb3d34b34fb4f89
|
| 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 sha256:6611315a871d0823aaec22b631986e6fadd4dff3064dab93fdb1cb2360692cf3
|
| 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 sha256:07aad466e2ac9be13c5e9d7297a41c4af6a016ab283ad90349e8730f93d22b81
|
| 3 |
size 253438152
|