Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:600
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use Galatea007/finetuned_arctic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Galatea007/finetuned_arctic with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Galatea007/finetuned_arctic") sentences = [ "What types of additional risks might future updates incorporate?", "Inaccuracies in these labels can impact the “stability” or robustness of these benchmarks, which many GAI practitioners consider during the model selection process.", "For example, when prompted to generate images of CEOs, doctors, lawyers, and judges, current text-to-image models underrepresent women and/or racial minorities , and people with disabilities .", "Future updates may incorporate additional risks or provide further details on the risks identified below." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K