Instructions to use aleegis09/721b4d15-f8f9-48f5-9fd8-d32e8b481d0d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis09/721b4d15-f8f9-48f5-9fd8-d32e8b481d0d 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, "aleegis09/721b4d15-f8f9-48f5-9fd8-d32e8b481d0d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7150b441da1b79e607a79a11577ada23aa111c7add4c34aaeab497568a08ea6c
- Size of remote file:
- 6.84 kB
- SHA256:
- 10ac0bb25f884a7a2d04677221b782b71e62c21906328ff8cc5db6bbff4d4d4c
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