Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
JAX
ONNX
Safetensors
OpenVINO
Transformers
roberta
feature-extraction
text-embeddings-inference
Instructions to use sentence-transformers/stsb-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sentence-transformers/stsb-roberta-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sentence-transformers/stsb-roberta-large") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use sentence-transformers/stsb-roberta-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/stsb-roberta-large") model = AutoModel.from_pretrained("sentence-transformers/stsb-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Add TF weights b6cd868
Joao Gante commited on
Update README.md 6275fe2
Update README.md dbd18b8
Add new SentenceTransformer model. 5a39ea1
nreimers commited on
upload flax model 2db5260
allow flax 1525ef2
upload 1bbe943
nreimers commited on