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:
- 98b8af6be3bb73b99a73fd37f41f033f327a14f0d4a98a6adbe0fd31c4980347
- Size of remote file:
- 134 MB
- SHA256:
- 8236acee4e810d0e2c0b54b413718ff603df47f09138829f9c0013efa160ce33
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