Instructions to use aleegis/0e964ff8-5ce9-485f-8e0d-2dd10d15eafb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis/0e964ff8-5ce9-485f-8e0d-2dd10d15eafb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/67b5bc2f-ac1e-4f07-beb2-44dbda192985") model = PeftModel.from_pretrained(base_model, "aleegis/0e964ff8-5ce9-485f-8e0d-2dd10d15eafb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4fc1d44d2c5df0169bdfd75b1bd77e11b50cb42f30f4d9b4596b7506ca22470
- Size of remote file:
- 7.44 kB
- SHA256:
- 10c4c5473cacc3259f31af359dbf9e3307ad45714a2984b3546a79424da6c3ee
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