Sentence Similarity
sentence-transformers
Safetensors
qwen3
feature-extraction
Generated from Trainer
dataset_size:8132
loss:CosineSimilarityLoss
text-embeddings-inference
Instructions to use DChak2000/qwen3-8b-coliee-trace-align with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use DChak2000/qwen3-8b-coliee-trace-align with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("DChak2000/qwen3-8b-coliee-trace-align") sentences = [ "The lessor may not assert the cancellation by agreement of the lease against the sublessee.", "APPLY_MUTATIS_MUTANDIS(ART442_444, case)", "NOT ASSERT(lessor, cancellation_by_agreement, sublessee)", "OR(ASSIGNABLE(claim), NOT ASSIGNABLE(claim) IF NATURE_NOT_PERMIT(claim))" ] 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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