| # Quick-start: Load KLINEXA-EL1 | |
| import torch, json | |
| from tokenizers import Tokenizer | |
| # 1. Load config | |
| with open('config.json', 'r') as f: | |
| config = json.load(f) | |
| # 2. Load tokenizer | |
| tok = Tokenizer.from_file('klinexa_tokenizer.json') | |
| # 3. Load model (requires model architecture definition) | |
| # ckpt = torch.load('klinexa_el1_model.pt', map_location='cpu') | |
| # model.load_state_dict(ckpt['model_state_dict']) | |
| # 4. Load memory & knowledge graph (if available) | |
| import os | |
| if os.path.exists('klinexa_memory.json'): | |
| with open('klinexa_memory.json', 'r') as f: | |
| memory = json.load(f) | |
| if os.path.exists('klinexa_knowledge_graph.json'): | |
| with open('klinexa_knowledge_graph.json', 'r') as f: | |
| kg = json.load(f) | |
| print("KLINEXA-EL1 loaded!") | |