Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:45
loss:TripletLoss
text-embeddings-inference
Instructions to use harry767701/bert-triplet-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use harry767701/bert-triplet-model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("harry767701/bert-triplet-model") sentences = [ "Analyst", "DevOps Engineer", "Leader", "Consultant" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!