Instructions to use thaffggg/ca72374d-9c1d-4bf6-b075-116467cf2b6a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/ca72374d-9c1d-4bf6-b075-116467cf2b6a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "thaffggg/ca72374d-9c1d-4bf6-b075-116467cf2b6a") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c65604046b4378d49151ee094b29a2268d996ff973eb34811e98d7a98bc5512e
- Size of remote file:
- 78.5 MB
- SHA256:
- c66514ab5b92e0d92e9aa389721f7cd7e196e8bd79e7ed76d6c5050967099018
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