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:
- 2dbea5b2de8e0daa25e66d6f42fbd97c50a11eb6b6e15aa089864d1ea9b43d74
- Size of remote file:
- 111 MB
- SHA256:
- 508b72cba2a65f561e0016e3ab39e51ccf9511b9e1289ca2cd90ae6d4decaa06
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