Feature Extraction
sentence-transformers
Safetensors
modernbert
sentence-similarity
biomedical
embeddings
life-sciences
scientific-text
SODA-VEC
EMBO
text-embeddings-inference
Instructions to use EMBO/vicreg_our_contrast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use EMBO/vicreg_our_contrast with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("EMBO/vicreg_our_contrast") 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] - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5000
Browse files- model.safetensors +1 -1
- training_args.bin +1 -1
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