Instructions to use igzi/lora-e2e_nlg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use igzi/lora-e2e_nlg 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-e2e_nlg") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 107db4de0bee2359b7fb11e7b945fd3d1db77a63b66ba4510d581b396db95a82
- Size of remote file:
- 20.7 MB
- SHA256:
- 7359b2469aac0469ca6565b3ed7fee2e5f86258206ac5f970a3b69897404ab93
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