Instructions to use bjoernp/opt2.7B-de-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bjoernp/opt2.7B-de-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bjoernp/opt2.7B-de-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "base_model_name_or_path": "facebook/opt-2.7b", | |
| "bias": "none", | |
| "enable_lora": null, | |
| "fan_in_fan_out": false, | |
| "inference_mode": true, | |
| "lora_alpha": 32, | |
| "lora_dropout": 0.1, | |
| "merge_weights": false, | |
| "modules_to_save": null, | |
| "peft_type": "LORA", | |
| "r": 8, | |
| "target_modules": [ | |
| "q_proj", | |
| "v_proj" | |
| ], | |
| "task_type": "CAUSAL_LM" | |
| } |