Instructions to use kamel-usp/jbcs2025_Llama-3.1-8B-llama31_classification_lora-C1-full_context-r8 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-C1-full_context-r8 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-C1-full_context-r8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f07656f03dc819254272a2a31ccf04c3861c0340090feab3016b1ef97e045f1
- Size of remote file:
- 84 MB
- SHA256:
- cecc4c533a268da60c786bad572973a9c38ff1c9cd9f9a9bf4ef9125064e08d8
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