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:
- cf5467d6040dc47a8eb0c4ca78ad4b68a93bb91104231518ba98fbe0f7d50c7b
- Size of remote file:
- 17.2 MB
- SHA256:
- 8c8b2a40e8ddfebd6c167b3be7515f8d65743757ff82d74f5b98a0ceea8e1ab3
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