Instructions to use Dellboy/toppdblx-residual-parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Dellboy/toppdblx-residual-parser with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir toppdblx-residual-parser Dellboy/toppdblx-residual-parser
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
| { | |
| "adapter_path": "data/interim/slm/adapters_v2", | |
| "batch_size": 16, | |
| "clear_cache_threshold": 0, | |
| "config": null, | |
| "data": "/Users/dellboy/Documents/Vibe_Coding/TopPDBLX/data/interim/slm", | |
| "fine_tune_type": "lora", | |
| "grad_accumulation_steps": 1, | |
| "grad_checkpoint": true, | |
| "iters": 1200, | |
| "learning_rate": 0.0001, | |
| "lora_parameters": { | |
| "rank": 8, | |
| "dropout": 0.0, | |
| "scale": 20.0 | |
| }, | |
| "lr_schedule": null, | |
| "mask_prompt": true, | |
| "max_seq_length": 1024, | |
| "model": "mlx-community/SmolLM2-360M-Instruct", | |
| "num_layers": 32, | |
| "optimizer": "adam", | |
| "optimizer_config": { | |
| "adam": {}, | |
| "adamw": {}, | |
| "muon": {}, | |
| "sgd": {}, | |
| "adafactor": {} | |
| }, | |
| "project_name": "toppdblx", | |
| "report_to": "wandb", | |
| "resume_adapter_file": null, | |
| "save_every": 100, | |
| "seed": 0, | |
| "steps_per_eval": 200, | |
| "steps_per_report": 200, | |
| "test": false, | |
| "test_batches": 500, | |
| "train": true, | |
| "val_batches": 25 | |
| } |