Instructions to use jgayed/gemmalorafull with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jgayed/gemmalorafull with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-27b-it") model = PeftModel.from_pretrained(base_model, "jgayed/gemmalorafull") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 499979e539fb0b48ab7971bc721cf59b5ecf1775a49c711190ac7785b0d30f24
- Size of remote file:
- 1.82 GB
- SHA256:
- 1d51d0b54fa39feffff06d1b159e05c5ef5c452cefc613d58b44149187d958bc
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