Instructions to use townwish/test-lora-subfolder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use townwish/test-lora-subfolder with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download test/adapter_config.json from townwish/test-lora-subfolder: direct link, hf CLI and curl.
- Browser
- Download file 448 Bytes
-
https://huggingface.co/townwish/test-lora-subfolder/resolve/main/test/adapter_config.json
- Command line
-
hf download hf://townwish/test-lora-subfolder/test/adapter_config.json
-
curl -L -o adapter_config.json https://huggingface.co/townwish/test-lora-subfolder/resolve/main/test/adapter_config.json
448 Bytes
| { | |
| "auto_mapping": null, | |
| "base_model_name_or_path": "facebook/opt-350m", | |
| "bias": "none", | |
| "fan_in_fan_out": false, | |
| "inference_mode": true, | |
| "init_lora_weights": true, | |
| "layers_pattern": null, | |
| "layers_to_transform": null, | |
| "lora_alpha": 32, | |
| "lora_dropout": 0.05, | |
| "modules_to_save": null, | |
| "peft_type": "LORA", | |
| "r": 16, | |
| "revision": "refs/pr/40", | |
| "target_modules": [ | |
| "q_proj", | |
| "v_proj" | |
| ], | |
| "task_type": "CAUSAL_LM" | |
| } |