Instructions to use HKReporter/ECTEL-2025-llama3-fold5-CU3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HKReporter/ECTEL-2025-llama3-fold5-CU3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "HKReporter/ECTEL-2025-llama3-fold5-CU3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76fd1f30bf611f6c16eb5519de8985751fad9ad934a9764ed145ad5960953b5b
- Size of remote file:
- 218 MB
- SHA256:
- 470a4204aaf7dfdc5c5753cc6968ae47de0dfec184efff9502e7db088d3947b3
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