Instructions to use xxccho/margin_reg_baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xxccho/margin_reg_baseline 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") - Transformers
How to use xxccho/margin_reg_baseline with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xxccho/margin_reg_baseline", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78d26d75993619c5710087feae42c1cf5cb8d041ad5025e646bcb3843968754b
- Size of remote file:
- 6.29 kB
- SHA256:
- aa1fd03d8de6160cdfb4f17a30c9528d7cde394e7a5a717964cdf8ba110e83e4
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