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
- Xet hash:
- e46dca73ec8403e1c9de7af292610747d7f97e960f09c1026bab1e8ccb0b7190
- Size of remote file:
- 54.8 MB
- SHA256:
- d659affc717ccaa0467ea870ec32d727b8988aa42c897fa71a6000976c0ffb4b
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