Instructions to use eeeebbb2/f1870551-e865-4496-82eb-3122c4c5fe07 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/f1870551-e865-4496-82eb-3122c4c5fe07 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/f1870551-e865-4496-82eb-3122c4c5fe07") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d11e6f39d001a4917d91030da5af1235071f04450c353c6e2034661b69a6710
- Size of remote file:
- 400 MB
- SHA256:
- 2110e91a9a8737c0c3c097b52251503ed42a2eb8d150e753e46b3bc1260e485d
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