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
[max_seq_length] Is it possible to change max_seq_length as 512 ?
#4
by TaeYeon39 - opened
안녕하세요.
max_seq_length 의 값을 128로 설정되어있는데, 512로 변경해서 사용할수 있는지요 ?
max_seq_length 의 값을 512로 변경하면, jhgan/ko-sroberta-multitask 모델을 다시 학습을 해야하는지요 ?
감사합니다.
Is it possible to change max_seq_length as 512 ?
To change max_seq_length as 512, the model should be trained again ?
sentence_bert_config.json
"max_seq_length": 128,
config.json
"max_position_embeddings": 514,
Best regards,