Instructions to use kamel-usp/jbcs2025_Llama-3.1-8B-llama31_classification_lora-C2-full_context-r16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kamel-usp/jbcs2025_Llama-3.1-8B-llama31_classification_lora-C2-full_context-r16 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "kamel-usp/jbcs2025_Llama-3.1-8B-llama31_classification_lora-C2-full_context-r16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9b87de3f82533f9eb037fdd1b8fd9c1bb35b6e3054a6bf20b12639011ddea8c
- Size of remote file:
- 168 MB
- SHA256:
- d99d1198b4cb4152caedcd414b54fbe56440ec15c2229df5923fea9e3a98738f
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