Sentence Similarity
sentence-transformers
Safetensors
feature-extraction
dense
Generated from Trainer
dataset_size:2380
loss:MultipleNegativesRankingLoss
Instructions to use DChak2000/qwen3-8B-trace-align3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use DChak2000/qwen3-8B-trace-align3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("DChak2000/qwen3-8B-trace-align3") sentences = [ "the variable _21574 is confirmed to be a variable.", "succeeded: nonvar(\"2015-12-31\")", "failed: death_(_23828)", "succeeded: var(_21574)" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K