Instructions to use nikiduki/adapter_syspro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikiduki/adapter_syspro with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nikiduki/adapter_syspro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_config.json from nikiduki/adapter_syspro: direct link, hf CLI and curl.
- Browser
- Download file 458 Bytes
-
https://huggingface.co/nikiduki/adapter_syspro/resolve/774e8e206426d49ad2593c8bbb3d8c3f55dab136/adapter_config.json
- Command line
-
hf download hf://nikiduki/adapter_syspro@774e8e206426d49ad2593c8bbb3d8c3f55dab136/adapter_config.json
-
curl -L -o adapter_config.json https://huggingface.co/nikiduki/adapter_syspro/resolve/774e8e206426d49ad2593c8bbb3d8c3f55dab136/adapter_config.json
458 Bytes
| { | |
| "auto_mapping": null, | |
| "base_model_name_or_path": "RefalMachine/RuadaptQwen2.5-7B-Lite-Beta", | |
| "encoder_dropout": 0.0, | |
| "encoder_hidden_size": 128, | |
| "encoder_num_layers": 2, | |
| "encoder_reparameterization_type": "MLP", | |
| "inference_mode": true, | |
| "num_attention_heads": 28, | |
| "num_layers": 28, | |
| "num_transformer_submodules": 1, | |
| "num_virtual_tokens": 20, | |
| "peft_type": "P_TUNING", | |
| "revision": null, | |
| "task_type": "SEQ_CLS", | |
| "token_dim": 3584 | |
| } |