Instructions to use eeeebbb2/c2ea0498-877c-4acc-afee-824cd273b65b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/c2ea0498-877c-4acc-afee-824cd273b65b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "eeeebbb2/c2ea0498-877c-4acc-afee-824cd273b65b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 855c599d3cafcc7519614eae9de34ec9121b03087c01b1b58fa15bfd63a934cb
- Size of remote file:
- 15 kB
- SHA256:
- ab2d2d14e25cf3a3c23eb7f7de2a59f364cbc175043016606077e10ee4011135
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