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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74fbe213f7a5f3437a30a0d70730b25ffd3c264a905f676768ed79355c534bbf
- Size of remote file:
- 1.47 kB
- SHA256:
- 7454eb88015a88605ef817f7234f6e2ae499ca06806c9a3ea7ab9169629883fa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.