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:
- af03caa3266513dd34311aff375f2061cf30a159d54e3e5f7792008070be427a
- Size of remote file:
- 6.29 kB
- SHA256:
- 2a75db4b667e1acb16a0e7511a6d417ad638ff613009acc2ca8623c871c05831
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