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:
- bcf3ccd02c5369a71085fe5101cf522aa348df73737ce7590a0bcf627bcbbb5c
- Size of remote file:
- 1.47 kB
- SHA256:
- 09001ba40c3d7791250f6e87c3b331939aacf38bd6c91f9757d3c1e32fe879aa
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