| { | |
| "library_name": "transformers", | |
| "tags": [ | |
| "pytorch", | |
| "tensorflow", | |
| "jax", | |
| "safetensors", | |
| "dimensional-entanglement", | |
| "quantum-enhancement", | |
| "emergence-detection", | |
| "holographic-memory", | |
| "neuro-symbolic", | |
| "multi-modal", | |
| "advanced-tokenizer", | |
| "pipeline-integration" | |
| ], | |
| "license": "apache-2.0", | |
| "language": [ | |
| "en", | |
| "multilingual" | |
| ], | |
| "task_categories": [ | |
| "text-generation", | |
| "text-classification", | |
| "token-classification", | |
| "question-answering", | |
| "summarization", | |
| "translation", | |
| "text2text-generation", | |
| "feature-extraction", | |
| "sentence-similarity" | |
| ], | |
| "model-index": [ | |
| { | |
| "name": "LiMp-Pipeline-Integration-System", | |
| "results": [ | |
| { | |
| "task": { | |
| "type": "text-generation" | |
| }, | |
| "dataset": { | |
| "name": "Custom Benchmark" | |
| }, | |
| "metrics": [ | |
| { | |
| "type": "coherence", | |
| "value": 0.877 | |
| }, | |
| { | |
| "type": "dimensional-coherence", | |
| "value": 0.77 | |
| }, | |
| { | |
| "type": "emergence-detection", | |
| "value": 0.94 | |
| } | |
| ] | |
| } | |
| ] | |
| } | |
| ] | |
| } |