Feature Extraction
sentence-transformers
Safetensors
bert
sentence-similarity
biomedical
embeddings
life-sciences
scientific-text
SODA-VEC
EMBO
text-embeddings-inference
Instructions to use EMBO/negative_sampling_pmb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use EMBO/negative_sampling_pmb with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("EMBO/negative_sampling_pmb") 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
Commit History
-
Update README.md
Verified signaturea3d002a -
Update README.md
Verified signature90f4499 -
Update README.md
Verified signaturebe9d816 -
Update model card with training details and usage instructions
Verified signaturef88a858 -
Upload checkpoint-51189 to Hugging Face Hub
Verified signature86d9343 -
initial commit
Verified signature35d5f8c