Sentence Similarity
sentence-transformers
PyTorch
Transformers
Korean
roberta
feature-extraction
text-embeddings-inference
Instructions to use smartmind/roberta-ko-small-tsdae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use smartmind/roberta-ko-small-tsdae with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("smartmind/roberta-ko-small-tsdae") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Transformers
How to use smartmind/roberta-ko-small-tsdae with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("smartmind/roberta-ko-small-tsdae") model = AutoModel.from_pretrained("smartmind/roberta-ko-small-tsdae") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- .gitattributes +1 -0
- model.safetensors +3 -0
.gitattributes
CHANGED
|
@@ -31,3 +31,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 31 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 32 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 33 |
pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 31 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 32 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 33 |
pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
|
| 34 |
+
model.safetensors filter=lfs diff=lfs merge=lfs -text
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f8cdc2d91765da32de885fb8e5a497c44743ff3cc07416fe62b95a6f1d81e487
|
| 3 |
+
size 90196536
|