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:
- 01ffb57ddfa60ba9fd5648537f20d0397bdafd2db6d03dac71cecc8328ac523b
- Size of remote file:
- 6.78 kB
- SHA256:
- 622cdbdacc9e660171b59ed08c659b6c5f136b4e8de725bf3c663dbec75cd716
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