Sentence Similarity
sentence-transformers
Safetensors
feature-extraction
dense
Generated from Trainer
dataset_size:204376
loss:LoggingMNR
Eval Results (legacy)
Instructions to use praphul555/ohai_gte_qwen_1.5b_instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use praphul555/ohai_gte_qwen_1.5b_instruct with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("praphul555/ohai_gte_qwen_1.5b_instruct") sentences = [ "Start kub stat.", "IV Push Ea Addtl Same Drug - Nursing", "KUB", "ROPivacaine (ROPivacaine 0.5% 30 mL)" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Gated model You can list files but not access them
Preview of files found in this repository