Instructions to use aleegis/abac9cb8-4f1d-4c13-96a1-2514191e6dbb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis/abac9cb8-4f1d-4c13-96a1-2514191e6dbb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-2b-it") model = PeftModel.from_pretrained(base_model, "aleegis/abac9cb8-4f1d-4c13-96a1-2514191e6dbb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb79a0ece06831af0f5acfbf1d6b407816720532e8829daa5efb1eed137c59c1
- Size of remote file:
- 166 MB
- SHA256:
- 434b400aa50c0f526d52dcd9a88bf0416e15b9e5859fe7442d63c1e24a6bbc4d
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