Instructions to use HKReporter/ECTEL-2025-llama3-fold4-CU4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HKReporter/ECTEL-2025-llama3-fold4-CU4 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-fold4-CU4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 246f38af222c7a9cbf3571af4998bb91ee2a36d89dbf5a2e557d5cd7afb0f4d6
- Size of remote file:
- 6.03 kB
- SHA256:
- 8775a8ef0a8eba6644d110dfbbdea2b7b8a8d2fd587360f0a9005fc53a7cb407
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