Upload fine-tuned BGE embeddings model for nuclear licensing search

.ipynb_checkpoints/README-checkpoint.md

@@ -1,14 +1,3 @@
-# bge-nuclear-finetuned
-
-Fine-tuned version of `BAAI/bge-base-en-v1.5` on nuclear licensing search queries using triplet loss.
-
-## Use
-```python
-from sentence_transformers import SentenceTransformer
-model = SentenceTransformer("your-username/bge-nuclear-finetuned")
-embeddings = model.encode(["aircraft impact rule"])
-
-
 ---
 tags:
 - sentence-transformers
@@ -22,6 +11,18 @@ pipeline_tag: sentence-similarity
 library_name: sentence-transformers
 ---
 
+# bge-nuclear-finetuned
+
+Fine-tuned version of `BAAI/bge-base-en-v1.5` on nuclear licensing search queries using triplet loss.
+
+## Use
+```python
+from sentence_transformers import SentenceTransformer
+model = SentenceTransformer("your-username/bge-nuclear-finetuned")
+embeddings = model.encode(["aircraft impact rule"])
+
+
+
 # SentenceTransformer based on BAAI/bge-base-en-v1.5
 
 This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [BAAI/bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

README.md

@@ -1,14 +1,3 @@
-# bge-nuclear-finetuned
-
-Fine-tuned version of `BAAI/bge-base-en-v1.5` on nuclear licensing search queries using triplet loss.
-
-## Use
-```python
-from sentence_transformers import SentenceTransformer
-model = SentenceTransformer("your-username/bge-nuclear-finetuned")
-embeddings = model.encode(["aircraft impact rule"])
-
-
 ---
 tags:
 - sentence-transformers
@@ -22,6 +11,18 @@ pipeline_tag: sentence-similarity
 library_name: sentence-transformers
 ---
 
+# bge-nuclear-finetuned
+
+Fine-tuned version of `BAAI/bge-base-en-v1.5` on nuclear licensing search queries using triplet loss.
+
+## Use
+```python
+from sentence_transformers import SentenceTransformer
+model = SentenceTransformer("your-username/bge-nuclear-finetuned")
+embeddings = model.encode(["aircraft impact rule"])
+
+
+
 # SentenceTransformer based on BAAI/bge-base-en-v1.5
 
 This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [BAAI/bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.