Instructions to use q-future/q-align-cgi-lora-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use q-future/q-align-cgi-lora-1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("q-future/one-align") model = PeftModel.from_pretrained(base_model, "q-future/q-align-cgi-lora-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5baa7c036956762698ce96c4f6b67920bd427fe6f064395da40cceb250dd6f71
- Size of remote file:
- 163 MB
- SHA256:
- a4b6a43c22c5a3c37e0ce86c612a5b90c5501306a7296fc796c15b48854ca66e
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