Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
ONNX
Safetensors
OpenVINO
Transformers
Korean
roberta
feature-extraction
text-embeddings-inference
Instructions to use jhgan/ko-sroberta-multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use jhgan/ko-sroberta-multitask with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jhgan/ko-sroberta-multitask") 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 jhgan/ko-sroberta-multitask with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jhgan/ko-sroberta-multitask") model = AutoModel.from_pretrained("jhgan/ko-sroberta-multitask") - Inference
- Notebooks
- Google Colab
- Kaggle
Question about the license
#13
by hayleyson - opened
Hi,
Could you kindly state the license of the model?
I am wondering whether it is possible to use the model or to use the model's outputs to train another model (e.g. for distillation) for commercial purposes.
Thank you.
hayleyson changed discussion title from Question regarding License to Question about the license
Hello, and apologies for the very delayed response.
The license is specified in the repository below, and it follows the licenses of the dataset and backbone model, which is CC-BY-SA-4.0.
https://github.com/jhgan00/ko-sentence-transformers
Thank you.