Instructions to use alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63: direct link, hf CLI and curl.
- Browser
- Download file 314 MB
-
https://huggingface.co/alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63/resolve/main/adapter_model.bin
- Command line
-
hf download hf://alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/alchemist69/6690e5a4-fdf8-499b-838d-b159414d8d63/resolve/main/adapter_model.bin
314 MB
- Xet hash:
- 2dbc7bfac470fc5c979e17e14e8606ebd06031f4dd8d08c12577deca51eb885e
- Size of remote file:
- 314 MB
- SHA256:
- 7e17d3f878d8872c86f10a3c4209a79e433559b6ca835d03fafd942b5765f4b5
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