Instructions to use Purdy0228/ConvMemory-OPC-Student-BGE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Purdy0228/ConvMemory-OPC-Student-BGE with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Purdy0228/ConvMemory-OPC-Student-BGE") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
| { | |
| "checkpoint_type": "opcos_convmemory_student", | |
| "hub_repo": "Purdy0228/ConvMemory-OPC-Student-BGE", | |
| "package": "convmemory", | |
| "package_version": "0.6.1", | |
| "created_at_unix": 1783059186.8425424, | |
| "git_commit": "e7f4a28", | |
| "git_tree": "dirty_export", | |
| "data": "data/opcos_synth_v614_phase0_passonly.jsonl", | |
| "data_sha256": "c8f595ee8afd2aa2d1a2f6336ac172f297667e3ec3b69bd7f8e876b925a1319d", | |
| "encoder_model": "BAAI/bge-base-zh-v1.5", | |
| "teacher_model": "BAAI/bge-reranker-v2-m3", | |
| "seed": 610, | |
| "train_queries": 202, | |
| "dev_queries": 40, | |
| "test_queries": 43, | |
| "train_time_sec": 33.81590125244111, | |
| "total_export_time_sec": 34.21509931143373, | |
| "student_sha256": "e56a74d937446d05de7381307f9188cffb8794e07805ee9837838ed8503713eb", | |
| "config_sha256": "24e838d0e86bd839f618e51890a4330d9d677bdda790d27bea53ed98614c9b77", | |
| "notes": [ | |
| "Teacher used only for offline distillation.", | |
| "Evaluation gold is construction gold, not teacher agreement.", | |
| "Phase-0 gate did not pass statistical improvement over bge cosine." | |
| ] | |
| } | |