Instructions to use xxccho/margin_reg_baseline_code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xxccho/margin_reg_baseline_code 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_code") - Transformers
How to use xxccho/margin_reg_baseline_code with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xxccho/margin_reg_baseline_code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 347 Bytes
35cdde1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"job_name": "margin_baseline_code",
"job_id": "125598",
"experiment_id": "margin_reg_baseline_code_20260328_121558",
"base_model": "meta-llama/Llama-3.1-8B-Instruct",
"train_domains": [
"code"
],
"use_margin_reg": true,
"lambda_reg": 0.0,
"delta_reg": 1.0,
"tau": 1.0,
"learning_rate": 1e-05
} |