Instructions to use ckcl/mexc_price_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use ckcl/mexc_price_model with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("ckcl/mexc_price_model", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download setting.json from ckcl/mexc_price_model: direct link, hf CLI and curl.
- Browser
- Download file 269 Bytes
-
https://huggingface.co/ckcl/mexc_price_model/resolve/main/setting.json
- Command line
-
hf download hf://ckcl/mexc_price_model/setting.json
-
curl -L -o setting.json https://huggingface.co/ckcl/mexc_price_model/resolve/main/setting.json
269 Bytes
Invalid JSON:Unexpected token 'i', "import jso"... is not valid JSON
| import json | |
| config = { | |
| "input_dim": 13, | |
| "model_dim": 64, | |
| "num_heads": 8, | |
| "num_layers": 2, | |
| "output_dim": 1, | |
| "model_type": "custom_transformer" | |
| } | |
| config_save_path = r'setting.json' | |
| with open(config_save_path, 'w') as f: | |
| json.dump(config, f) | |