Instructions to use dongbobo/adapter-checkpoint-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dongbobo/adapter-checkpoint-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "dongbobo/adapter-checkpoint-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ac5f7d76704848ff28e712bb63774a27d5fd1b884fb28d795f97554444cbb2f
- Size of remote file:
- 16.8 MB
- SHA256:
- feb99a11d87f8360affa33baae20b09d7dbe1aee5b05f6ea3f4298b7437fd3ca
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