Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
Generated from Trainer
dataset_size:8879
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use Aman0026/ArogyaAI-BioBERT-BioLORD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Aman0026/ArogyaAI-BioBERT-BioLORD with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Aman0026/ArogyaAI-BioBERT-BioLORD") sentences = [ "સુગરના કારણે રાત્રે વારંવાર પેશાબ કરવા ઉઠવું પડે છે", "Diabetes", "Tonsillitis", "Migraine" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8dfd1436272d78a3aac5834167a549e8b4de5d22e94b4f7d6b37047bf8996f6d
- Size of remote file:
- 17.1 MB
- SHA256:
- bc5c1151948923156f20bcafd54fd796705d693f8d7b56c83aec49d651f6d602
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