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:
- 466a7e1b71a83e43754c44850ea5c2f6fbb651b8797ea23702c8da072f6b9373
- Size of remote file:
- 6.03 kB
- SHA256:
- ee81b855aa34fefddbbafae6f41de7de3c14ba3bd9feb2c78f3528356f929e65
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