Sentence Similarity
sentence-transformers
Safetensors
English
feature-extraction
grant-matching
nonprofit
foundation-grants
Instructions to use ArkMaster123/grantpilot-embedding-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ArkMaster123/grantpilot-embedding-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ArkMaster123/grantpilot-embedding-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] - Notebooks
- Google Colab
- Kaggle
V2 embedding model (federal + foundation) - adapter_model.safetensors
Browse files
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a92a1bf04153ea6f68949d83e8697fb48efd6c225abe13254122baef7a793191
|
| 3 |
+
size 18378664
|