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:
- cbaaa67f63e40abea47181c79f23b9de24718cbcbad77668e2cf7c0f407d9f5a
- Size of remote file:
- 17.2 MB
- SHA256:
- a65c6c5f9764771aa485e6a1f5e63d7d9af8477fe0777148c17476ecb2e09a05
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