Instructions to use Roseshmay/led-qa-exaone-3.0-7.8b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Roseshmay/led-qa-exaone-3.0-7.8b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct") model = PeftModel.from_pretrained(base_model, "Roseshmay/led-qa-exaone-3.0-7.8b-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b3733570fea5e368efa9c2c78e121efabed89e06c8b6e640f4735465cca8040
- Size of remote file:
- 168 MB
- SHA256:
- d698220789d7032bbac5548a3fb018b052f9a4cd927d6daed127aa0884725bed
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