Upload with huggingface_hub
Browse files
README.md
CHANGED
@@ -2,39 +2,36 @@
|
|
2 |
pipeline_tag: sentence-similarity
|
3 |
tags:
|
4 |
- sentence-transformers
|
5 |
-
- feature-extraction
|
6 |
- sentence-similarity
|
7 |
- transformers
|
8 |
-
lan:
|
9 |
---
|
10 |
|
11 |
# TAACO_Similarity
|
12 |
|
13 |
-
|
14 |
-
|
15 |
-
<!--- Describe your model here -->
|
16 |
|
17 |
## Usage (Sentence-Transformers)
|
18 |
|
19 |
-
|
20 |
|
21 |
```
|
22 |
pip install -U sentence-transformers
|
23 |
```
|
24 |
|
25 |
-
|
26 |
|
27 |
```python
|
28 |
from sentence_transformers import SentenceTransformer
|
29 |
sentences = ["This is an example sentence", "Each sentence is converted"]
|
30 |
|
31 |
-
model = SentenceTransformer(
|
32 |
embeddings = model.encode(sentences)
|
33 |
print(embeddings)
|
34 |
```
|
35 |
|
36 |
|
37 |
-
|
38 |
## Usage (์ค์ ๋ฌธ์ฅ ๊ฐ ์ ์ฌ๋ ๋น๊ต)
|
39 |
Sentence-transformers [sentence-transformers](https://www.SBERT.net) ๋ฅผ ์ค์นํ ํ ์๋ ๋ด์ฉ๊ณผ ๊ฐ์ด ๋ฌธ์ฅ ๊ฐ ์ ์ฌ๋๋ฅผ ๋น๊ตํ ์ ์์ต๋๋ค.
|
40 |
query ๋ณ์๋ ๋น๊ต ๊ธฐ์ค์ด ๋๋ ๋ฌธ์ฅ(Source Sentence)์ด๊ณ ๋น๊ต๋ฅผ ์งํํ ๋ฌธ์ฅ์ docs์ list ํ์์ผ๋ก ๊ตฌ์ฑํ์๋ฉด ๋ฉ๋๋ค.
|
@@ -72,6 +69,7 @@ for i, (score, idx) in enumerate(zip(top_results[0], top_results[1])):
|
|
72 |
|
73 |
For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
|
74 |
|
|
|
75 |
|
76 |
## Training
|
77 |
The model was trained with the parameters:
|
|
|
2 |
pipeline_tag: sentence-similarity
|
3 |
tags:
|
4 |
- sentence-transformers
|
|
|
5 |
- sentence-similarity
|
6 |
- transformers
|
7 |
+
lan: Korean
|
8 |
---
|
9 |
|
10 |
# TAACO_Similarity
|
11 |
|
12 |
+
๋ณธ ๋ชจ๋ธ์ Sentence-transformers[sentence-transformers](https://www.SBERT.net)๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ํ๋ฉฐ KLUE์ STS(Sentence Textual Similarity) ๋ฐ์ดํฐ์
์ ํตํด ํ๋ จ์ ์งํํ ๋ชจ๋ธ์
๋๋ค. ํ์๊ฐ ์ ์ํ๊ณ ์๋ ํ๊ตญ์ด ๋ฌธ์ฅ๊ฐ ๊ฒฐ์์ฑ
|
13 |
+
์ธก์ ๋๊ตฌ์ธ K-TAACO(๊ฐ์ )์ ์งํ ์ค ํ๋์ธ ๋ฌธ์ฅ ๊ฐ ์๋ฏธ์ ๊ฒฐ์์ฑ์ ์ธก์ ํ๊ธฐ ์ํด ์ ์ํ์์ต๋๋ค. ๋ํ ๋ชจ๋์ ๋ง๋ญ์น์ ๋ฌธ์ฅ๊ฐ ์ ์ฌ๋ ๋ฐ์ดํฐ์
์ ํตํด์๋ ํ๋ จ์ ์งํํ ์์ ์
๋๋ค.
|
|
|
14 |
|
15 |
## Usage (Sentence-Transformers)
|
16 |
|
17 |
+
๋ณธ ๋ชจ๋ธ์ ์ฌ์ฉํ๊ธฐ ์ํด์๋ Sentence-Transformer [sentence-transformers](https://www.SBERT.net)๋ฅผ ์ค์นํ์ฌ์ผ ํฉ๋๋ค.
|
18 |
|
19 |
```
|
20 |
pip install -U sentence-transformers
|
21 |
```
|
22 |
|
23 |
+
๋ชจ๋ธ์ ์ฌ์ฉํ๊ธฐ ์ํด์๋ ์๋ ์ฝ๋๋ฅผ ์ฐธ์กฐํ์๊ธธ ๋ฐ๋๋๋ค.
|
24 |
|
25 |
```python
|
26 |
from sentence_transformers import SentenceTransformer
|
27 |
sentences = ["This is an example sentence", "Each sentence is converted"]
|
28 |
|
29 |
+
model = SentenceTransformer("KDHyun08/TAACO_STS")
|
30 |
embeddings = model.encode(sentences)
|
31 |
print(embeddings)
|
32 |
```
|
33 |
|
34 |
|
|
|
35 |
## Usage (์ค์ ๋ฌธ์ฅ ๊ฐ ์ ์ฌ๋ ๋น๊ต)
|
36 |
Sentence-transformers [sentence-transformers](https://www.SBERT.net) ๋ฅผ ์ค์นํ ํ ์๋ ๋ด์ฉ๊ณผ ๊ฐ์ด ๋ฌธ์ฅ ๊ฐ ์ ์ฌ๋๋ฅผ ๋น๊ตํ ์ ์์ต๋๋ค.
|
37 |
query ๋ณ์๋ ๋น๊ต ๊ธฐ์ค์ด ๋๋ ๋ฌธ์ฅ(Source Sentence)์ด๊ณ ๋น๊ต๋ฅผ ์งํํ ๋ฌธ์ฅ์ docs์ list ํ์์ผ๋ก ๊ตฌ์ฑํ์๋ฉด ๋ฉ๋๋ค.
|
|
|
69 |
|
70 |
For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
|
71 |
|
72 |
+
๋ฌธ์ฅ ๊ฐ ์ ์ฌ๋๋ 1์ด ์ต๋๊ฐ์ด๋ฉฐ, 0์ ๊ฐ๊น์ธ์๋ก ์๋ฏธ์ ์ผ๋ก ์ ์ฌํ์ง ์์ ๋ฌธ์ฅ์
๋๋ค.
|
73 |
|
74 |
## Training
|
75 |
The model was trained with the parameters:
|