Instructions to use xxccho/margin_reg_baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xxccho/margin_reg_baseline with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "xxccho/margin_reg_baseline") - Transformers
How to use xxccho/margin_reg_baseline with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xxccho/margin_reg_baseline", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "job_name": "margin_baseline", | |
| "job_id": "125596", | |
| "experiment_id": "margin_reg_baseline_20260328_121542", | |
| "base_model": "meta-llama/Llama-3.1-8B-Instruct", | |
| "train_domains": [ | |
| "general" | |
| ], | |
| "use_margin_reg": true, | |
| "lambda_reg": 0.0, | |
| "delta_reg": 1.0, | |
| "tau": 1.0, | |
| "learning_rate": 1e-05 | |
| } |