Instructions to use Purdy0228/ConvMemory-OPC-V3-Validity-Context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Purdy0228/ConvMemory-OPC-V3-Validity-Context with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Purdy0228/ConvMemory-OPC-V3-Validity-Context") 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
| { | |
| "config": { | |
| "context_threshold": 0.05, | |
| "cross_encoder_batch_size": 32, | |
| "cross_encoder_model": null, | |
| "cross_encoder_num_labels": 1, | |
| "demote_score_scale": 1.0, | |
| "demote_threshold": 0.05, | |
| "max_length": 192, | |
| "max_sources_per_candidate": 1, | |
| "mode_default": "context", | |
| "source_policy": "top1" | |
| }, | |
| "format": "convmemory_validity_evidence", | |
| "version": 1 | |
| } |