Instructions to use aseratus1/06a7c293-abae-48ea-a934-6a680192ef80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aseratus1/06a7c293-abae-48ea-a934-6a680192ef80 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-1.3b") model = PeftModel.from_pretrained(base_model, "aseratus1/06a7c293-abae-48ea-a934-6a680192ef80") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10b5450f1c5c0932b0bec95685d23f88952c112336c01e24f844309155b266d7
- Size of remote file:
- 28.4 MB
- SHA256:
- 88cde995b1e3698e021e6f7adfe5833782a23303c8499aa8f11936610219353d
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