Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:3997120
loss:MultipleNegativesSymmetricMarginLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use pankajrajdeo/BioForge-bioformer-16L-foundational with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use pankajrajdeo/BioForge-bioformer-16L-foundational with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("pankajrajdeo/BioForge-bioformer-16L-foundational") sentences = [ "Orciprenaline 20 mg oral tablet", "Metaproterenol 20 mg oral tablet", "SNOMED_CT", "synonym" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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