Instructions to use igzi/lora-rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use igzi/lora-rte with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "igzi/lora-rte") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9a9dc7f92fe477c570f370eb9a8d37d101f3265340017b2392824f09f1dd9da
- Size of remote file:
- 20.7 MB
- SHA256:
- 2c7380fa85cf8095ca10eed200e0a1cc9f4196c42f23790d2a2c43fa3e2331e2
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