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:
- 0044f269b522013f041a3504b5c1da0a5941d2429884d3825c00b946de1c2404
- Size of remote file:
- 6.84 kB
- SHA256:
- 082aadba2ad4ff772c9a19d3941537b2123228e2ce95a1f106168309ba9aaf8b
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