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
- Xet hash:
- 09e5464b4ec318ccecd99ce338d53fecf54f620cda39db7713e5316af9ebcdb6
- Size of remote file:
- 11.4 MB
- SHA256:
- b7e24abbf8db66065c500459b3f6b876165878c4d45486d8a54466da3b8e0f81
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