Instructions to use eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "eeeebbb2/b19f0afb-87c9-4c3a-9b22-183983e96095") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
010df33 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a63c485bbbab0efcfc1ffe32fd177108a9f70be1875ea3aacad3c4f064a5974b
size 34315097
|