Instructions to use LLM-Beetle/Axolotl_70k_Lora_Adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use LLM-Beetle/Axolotl_70k_Lora_Adapters with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "LLM-Beetle/Axolotl_70k_Lora_Adapters") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74875d8614b986928d87f1b787a5bc0be63f8674c6e6bcabca88239bd6f2a78d
- Size of remote file:
- 6.2 kB
- SHA256:
- 33416e4b3040cd403a26d299372f36c172eb139101e2b8b2092f0402d5fb44f4
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